Готові списки джерел за темами / Electrocardiographic data

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Добірка наукової літератури з теми "Electrocardiographic data"

Автор: Grafiati
Опубліковано: 10 січня 2023
Оновлено: 28 січня 2023

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Статті в журналах з теми "Electrocardiographic data"

1

Brooks, Carol Ann, Nancy Kanyok, Colin O’Rourke, and Nancy M. Albert. "Retention of Baseline Electrocardiographic Knowledge After a Blended-Learning Course." American Journal of Critical Care 25, no. 1 (January 1, 2016): 61–67. http://dx.doi.org/10.4037/ajcc2016556.

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Анотація:
Background Among nurses, skill retention after an electrocardiography blended-learning course is unknown. Objectives To compare 3- and 8-week electrocardiography test scores, compare scores by nurse and work characteristics and self-assessed electrocardiographic competence, and compare 1-year work retention with 3- and 8-week scores and change in scores from week 3 to week 8. Methods Data were collected on demographics, comfort with electrocardiography expectations, electrocardiography competence levels, and 1-year work retention. Correlational and comparative statistics were used in analyses. Results Of 69 nurses, 58% were somewhat comfortable with interventions for abnormal rhythms. Test scores were higher at 3 weeks than at 8 weeks: mean difference, 26%; P < .001. Scores at 8 weeks reflected intermediate skill retention and were not associated with nurse characteristics, electrocardiography background, comfort with rhythms and measurements, or 1-year work retention. Nurses with greater comfort for intervening when rhythm abnormalities occurred had higher median 8-week scores (P = .01) than did nurses with less comfort, and perceptions of electrocardiographic competence were associated with 8-week scores (r = 0.28; P = .02). Reduction in scores at 8 weeks was less severe in nurses with greater comfort at 3 weeks in measuring electrocardiographic intervals (P = .008) and applying therapeutic interventions (P = .009). Conclusions Skill retention and competence in electrocardiographic interpretation were intermediate and correlated with baseline self-assessment. Electrocardiographic interpretation, measurement, and interventions should be reinforced at the bedside.
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2

Selker, Harry P., Manlik Kwong, Robin Ruthazer, Sheeona Gorman, Giuliana Green, Elizabeth Patchen, James E. Udelson, et al. "An example of medical device-based projection of clinical trial enrollment: Use of electrocardiographic data to identify candidates for a trial in acute coronary syndromes." Journal of Clinical and Translational Science 2, no. 6 (December 2018): 377–83. http://dx.doi.org/10.1017/cts.2019.365.

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AbstractBackground:To identify potential participants for clinical trials, electronic health records (EHRs) are searched at potential sites. As an alternative, we investigated using medical devices used for real-time diagnostic decisions for trial enrollment.Methods:To project cohorts for a trial in acute coronary syndromes (ACS), we used electrocardiograph-based algorithms that identify ACS or ST elevation myocardial infarction (STEMI) that prompt clinicians to offer patients trial enrollment. We searched six hospitals’ electrocardiograph systems for electrocardiograms (ECGs) meeting the planned trial’s enrollment criterion: ECGs with STEMI or > 75% probability of ACS by the acute cardiac ischemia time-insensitive predictive instrument (ACI-TIPI). We revised the ACI-TIPI regression to require only data directly from the electrocardiograph, the e-ACI-TIPI using the same data used for the original ACI-TIPI (development set n = 3,453; test set n = 2,315). We also tested both on data from emergency department electrocardiographs from across the US (n = 8,556). We then used ACI-TIPI and e-ACI-TIPI to identify potential cohorts for the ACS trial and compared performance to cohorts from EHR data at the hospitals.Results:Receiver-operating characteristic (ROC) curve areas on the test set were excellent, 0.89 for ACI-TIPI and 0.84 for the e-ACI-TIPI, as was calibration. On the national electrocardiographic database, ROC areas were 0.78 and 0.69, respectively, and with very good calibration. When tested for detection of patients with > 75% ACS probability, both electrocardiograph-based methods identified eligible patients well, and better than did EHRs.Conclusion:Using data from medical devices such as electrocardiographs may provide accurate projections of available cohorts for clinical trials.
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3

Loukrakpam, Bidyarani, Laishram Geetanjali, O. Puinabati Luikham, and Sanjoy K. Shylla. "Electrocardiographic changes in patients with pre-eclampsia." Annals of Medical Physiology 3, no. 1 (March 22, 2019): 10–13. http://dx.doi.org/10.23921/amp.2019v3i1.26774.

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Pre-eclampsia is a hypertensive disorder of pregnancy that is associated with elevated maternal risk for cardiovascular disease. Electrocardiographic (ECG) changes in pre-eclampsia have been documented in some studies. Electrocardiography has recently emerged as a useful tool to evaluate cardiovascular complication during and after pregnancy. The present study was therefore undertaken to find out electrocardiographic changes in pre-eclamptic women, visiting Regional Institute of Medical Sciences, Manipur. The aim of this study was to determine the electrocardiographic changes in both pre-eclampsia and age matched normotensive pregnant women. In this study, 25 pregnant women (gestational age >20 weeks) with pre-eclampsia in the range of 18 to 45 years of age were recruited and compared with the equal number of age matched normotensive pregnant women. ECG parameters of pre-eclamptic women were compared with those of normotensive pregnant women. The data were then analyzed using SPSS software. Pre-eclamptic women showed significantly longer QRS (0.10±0.02 sec vs 0.09±0.05 sec), prolonged QT (0.401±0.03 sec vs 0.365±0.003sec) and QTc (457.73±37 msec vs 416.47± 25.4 msec) than control group. The study shows that electrocardiography can be used to evaluate cardiovascular risk in pre-eclamptic women.
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4

Popadiuk, B., and S. Holopura. "Validation of a portable ECG monitor for the diagnosis of arrhythmias in horses compared to a standard electrocardiograph." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 22, no. 97 (May 7, 2020): 20–25. http://dx.doi.org/10.32718/nvlvet9704.

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Анотація:
Electrocardiography (ECG) is a main diagnostic tool for diagnostics of rhythm disturbances. Since most pathological arrhythmias are only visible during movement and exercises the registration of exercising ECG becomes a mandatory diagnostic tool for monitoring of high-performance horses. Portable ECG monitor, developed together with specialists of National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” is an electrocardiograph with telemetric data transmission system and four electrodes providing six-lead real-time ECG recordings at rest and during exercise. The objective of current study was validation of portable ECG monitor for diagnostics of arrhythmias in horses compared to a standard electrocardiograph. With this aim the ECG was performed by both devices simultaneously on animals with normal rhythm and rhythm disturbances. The ECG traces were therefore analyzed and compared. 14 horses of Ukrainian riding, Friesian, and Arabian breeds were divided in two groups: experimental one with arrhythmias, and control one with normal rhythm. ECG was performed by both devices simultaneously during rest, exercise, and post-exercise period. Electrocardiographic parameters were measured manually using on-screen calipers. Obtained data was analyzed using GraphPad Prism software by linear regression method for continuous parameters (HR, duration of QRS complex, PR, and QT intervals, and amplitude of P and S waves). For nominal parameters (rhythm, excitability, and conduction disorders) the analysis of sensitivity and specificity was performed. A total of 196 ECG records were analysed. Electrocardiographic intervals had high correlation: for HR and PR interval the correlation coefficient amounted to 0.98, for QRS complex and QT interval – to 0.97, for P and S waves – to 0.96. Among detected rhythm disturbances were physiological (second degree AV block first Mobitz type and SA block) and pathological arrhythmias (SVT and SVPCs). The sensitivity and specificity for rhythm, excitability, and conduction disorders of the portable ECG monitor compared to a standard electrocardiograph was 100 %. The portable ECG monitor allows to easily perform ECG registration during rest and exercises and to detect arrhythmias and other ECG abnormalities with accuracy, compared to a standard electrocardiograph.
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5

Khayrutdinova, G. M. "Left ventricle remodeling electrocardiography criteria of survival assessment in Q-wave myocardial infarction patients." Kazan medical journal 94, no. 2 (April 15, 2013): 168–75. http://dx.doi.org/10.17816/kmj1582.

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Aim. To study the survival in patients with Q-wave myocardial infarction depending on features of left ventricle remodeling on electrocardiography. Methods. 10-year overall survival and heart diseases associated survival rates depending on features of left ventricle remodeling on electrocardiography were studied in 87 patients who had survived an acute myocardial infarction with Q wave. The first group included 45 patients who fulfilled electrocardiographic criteria for left ventricle adaptive remodeling, the second group included 42 patients with electrocardiographic features of left ventricle maladaptive remodeling. The survival in both groups was estimated using the Kaplan-Meier’s curves. Results. There was a highly significant inverse relationship between age and survival rate of the patients with Q-positive myocardial infarction. 40 patients succumbed by the end of the observation period, among them - 20 (50%) due to heart diseases. 20 (50%) patients died from non-cardiac events, among them - ischaemic stroke, neoplasms and accidents (most common - alcohol intoxication, 5,8% each). Chronic heart failure was most common reason of death in both groups, and it prevailed in the group of patients with left ventricle maladaptive remodeling electrocardiographic features. According to the gained data, there were no significant differences observed in overall survival in both groups during the whole follow-up period. In assessment of survival associated with heart diseases, the differences close to the statistically significant were found. Conclusion. The comparison of the overall survival depending on left ventricle remodeling electrocardiographic features did not detect any reliable differences, while in case of heart diseases associated survival assessment differences close to the statistically significant were found.
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6

Vergassola, R., W. Zong, M. R. Berthold, and R. Silipo. "Knowledge-based and Data-driven Models in Arrhythmia Fuzzy Classification." Methods of Information in Medicine 40, no. 05 (2001): 397–402. http://dx.doi.org/10.1055/s-0038-1634199.

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Summary Objectives: Fuzzy rules automatically derived from a set of training examples quite often produce better classification results than fuzzy rules translated from medical knowledge. This study aims to investigate the difference in domain representation between a knowledge-based and a data-driven fuzzy system applied to an electrocardiography classification problem. Methods: For a three-class electrocardiographic arrhythmia classification task a set of fifteen fuzzy rules is derived from medical expertise on the basis of twelve electrocardiographic measures. A second set of fuzzy rules is automatically constructed on thirty-nine MIT-BIH database’s records. The performances of the two classifiers on thirteen different records are comparable and up to a certain extent complementary. The two fuzzy models are then analyzed, by using the concept of information gain to estimate the impact of each ECG measure on each fuzzy decision process. Results: Both systems rely on the beat prematurity degree and the QRS complex width and neglect the P wave existence and the ST segment features. The PR interval is not well characterized across the fuzzy medical rules while it plays an important role in the data-driven fuzzy system. The T wave area shows a higher information gain in the knowledge based decision process, and is not very much exploited by the data-driven system. Conclusions: The main difference between a human designed and a data driven ECG arrhythmia classifier is found about the PR interval and the T wave.
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7

Mishra, Dheerendra Kumar, and Pradeep Kumar. "Electrocardiographic changes of antidepressant medication in depressive episode." International Journal of Advances in Medicine 5, no. 3 (May 22, 2018): 505. http://dx.doi.org/10.18203/2349-3933.ijam20181409.

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Introduction: Depressive disorder is leading cause of mortality in the world, with the help of recent therapeutic strategies it is easily manageable. Antidepressant medication is the most commonly used for management of depressive disorders. Among the side effects of antidepressant, cardiovascular effects of antidepressant deserve close monitoring. Invariably, it is observed that patients undergoing antidepressant therapy are not screened for pre-existing cardiovascular diseases and more so for cardiotoxicity. Various antidepressant medications are available, with different cardiac side effects profile. Ignorance, over clinical burden, poor follow up and under evaluation of cardiovascular side effects could be attributable to an ultimate surveillance of such cases. So, this study conducted to evaluate electrocardiographic changes in therapeutic doses of antidepressant medication.Methods: An Open label-controlled study was conducted on 386 subjects to evaluate the antidepressant-induced electrocardiographic changes. Treatment seeking subjects for the depressive episode was recruited from outpatient and inpatient section of Psychiatry department after fulfilling inclusion and exclusion criteria. Data was collected on socio-demographic characteristics, and detailed pre-treatment and post-treatment clinical evaluation and electrocardiographic assessment were done.Results: Data collected and analyzed from 204 subjects, mean age of subjects taking tricyclics and SSRI (Fluoxitine) 43.6±7.5 years vs 41.5±9.6 years respectively. The study sample consists of 66% females, 33% males. Among them, 35% study subject expose to tricyclics and 65% subjects taking SSRI. 19% study subjects presented electrocardiograph changes especially tachycardia among them 55% was taking the tricyclic antidepressant. Only 10% subjects taking SSRI had post-treatment abnormal electrocardiograph changes.Conclusions: Conclusively, antidepressant form a safe therapeutic modality for the management of major depression. Its cardiovascular side effects warrant against indiscriminate use of particularly in high dose and old aged person and preexisting cardiac disease.
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8

Pereira, Fábio Benedito Filo Creão Garcia, Lizandra Lujan Delpupo Trivilin, and Marcia Rayssa Farias Torres. "Clinical, Epidemiological and Demographic Profile of Patients Undergoing Holter (24 h) at a Health Center in Belém do Pará: a Retrospective Study." Journal of Cardiac Arrhythmias 34, no. 1 (March 12, 2021): 1–11. http://dx.doi.org/10.24207/jca.v34i1.3419.

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Анотація:
Introduction: Dynamic electrocardiography by the Holter system can be divided into four major groups: evaluation of clinical manifestations related to the presence of altered heart rhythm; assessment of myocardial ischemia; risk assessment of future cardiac events; and therapeutic assessment. Objective: To identify the clinical, epidemiological and demographic profile that is associated with electrocardiographic changes in the 24-hour Holter in patients seen at the Escola do Marco Health Center in Belém do Pará, Brazil. Methods: We carried out a cross-sectional and retrospective study, with data from patients such as: clinical and electrocardiographic correlation, indications, tachyarrhythmias, bradyarrhythmias, medications in use, provenance, demographic data and behavior modification. All of the information was compiled in a standardized protocol. Results: The main electrocardiographic findings were: supraventricular and ventricular extrasystoles less than 1% (reported in 71 and 57% of patients, respectively). Conclusion: The 24-hour Holter still has an important role in the identification of patients with electrocardiographic changes. The main indications for the examination were to assess the severity of arrhythmia (32%) and palpitation to clarify (23%), and there were uncommon findings, but of great clinical importance and with statistical significance, such as almost three times more frequent nonsustained ventricular tachycardia in patients with heart failure, cardiac, symptomatic frequent extrasystole (> 3%), more frequent atrial fibrillation in the elderly and men (60%) and with underuse of anticoagulant therapy (20%) due to non-diagnosis prior to the exam, and changes in the ST segment with a tendency in patients with systemic arterial.
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9

Artsymovych, Agar, Olena Oshlianska, Olena Okhotnikova, Zoia Rossokha, Olena Popova, Nataliia Medvedeva, Victoriia Vershigora, Illya Chaikovsky та Olga Kryvova. "Possibilities of using determination of allelic polymorphism of interleukin-6 G174C and tumour necrosis factor-α G308A genes for the prediction of cardiovascular disorders in children with juvenile idiopathic arthritis". Pediatria i Medycyna Rodzinna 18, № 1 (31 травня 2022): 58–69. http://dx.doi.org/10.15557/pimr.2022.0008.

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Анотація:
Objectives: Juvenile idiopathic arthritis is a chronic disease that affects the synovial membrane of the joints, but can also lead to secondary lesions of the cardiovascular system. The most important mechanism of myocardial damage is associated with the effect of proinflammatory cytokines. The aim of the study was to propose a method of early detection of cardiovascular system changes and lesions in patients with juvenile idiopathic arthritis based on the determination of allelic polymorphism combined with electrocardiography data. Materials and methods: 102 patients with juvenile idiopathic arthritis underwent a general clinical examination. The overall activity of juvenile idiopathic arthritis was assessed using the Juvenile Arthritis Disease Activity Score. In addition, the patients underwent an electrocardiographic evaluation using the software and hardware complex “Cardioplus P,” which is a portable electrocardiograph providing “signal-averaged” electrocardiography performing the recognition and measurement of amplitude-time parameters, and calculation of secondary electrocardiography parameters. The genotypes of patients were additionally determined by alleles of the TNF-α (G308A) and IL6 (G174C) genes by polymerase chain reaction. Results: The overall number of mutations affects the course of the disease, with two or more mutations being associated with a more aggressive course of the disease, a more pronounced degree of inflammation, and a higher frequency of extra-articular lesions. The complex indicator of the functional state of the myocardium according to the electrocardiography data differed significantly (p = 0.00001) in clusters. Conclusion: Patients with juvenile idiopathic arthritis with two or more mutations in different genes of proinflammatory cytokines have a higher activity of the inflammatory process and a higher frequency of cardiovascular changes according to 4th generation electrocardiography. The determination of polymorphism may be useful in evaluating the risk of development of cardiovascular system abnormalities.
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Türe, Mehmet, Alper Akın, Edip Unal, Ahmet Kan, and Suat Savaş. "Electrocardiographic data of children with type 1 diabetes mellitus." Cardiology in the Young 32, no. 1 (November 2, 2021): 106–10. http://dx.doi.org/10.1017/s1047951121004376.

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AbstractBackground:Adult patients diagnosed with type 1 diabetes mellitus are at risk for ventricular arrhythmias and sudden cardiac death.Aim:The objective of our study is to evaluate the electrocardiographic data of children diagnosed with type 1 diabetes mellitus and to determine the possibility of arrhythmia in order to prevent sudden death.Methods:Electrocardiographic data of 60 patients diagnosed with type 1 diabetes mellitus and 86 controls, who were compatible with the patient group in terms of age and gender, were compared.Results:The duration of diabetes in our patients with type 1 diabetes mellitus was 5.23 ± 1.76 years, and the haemoglobin A1c levels were 9.63% ± 1.75%. The heart rate, QRS, QT maximum, QT dispersion, QTc minimum, QTc maximum, QTc dispersion, Tp-e maximum, Tp-e maximum/QTc maximum and the JTc were significantly higher compared to the control group. There was no significant correlation between the duration of type 1 diabetes mellitus and HbA1c levels and the electrocardiographic data.Conclusion:We attributed the lack of a significant correlation between the duration of type 1 diabetes mellitus and the haemoglobin A1c levels and the electrocardiographic data to the fact that the duration of diabetes was short, since our patients were children. We believe that patients with type 1 diabetes mellitus should be followed up closely in terms of sudden death, as they have electrocardiographic changes that may cause arrhythmias compared to the control group. However, more studies with longer follow-up periods are necessary to support our data.
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Більше джерел

Дисертації з теми "Electrocardiographic data"

1

Finlay, Dewar Darren. "Data driven selection of optimal electrocardiographic recording sites from body surface potential maps." Thesis, University of Ulster, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428809.

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2

Potyagaylo, Danila [Verfasser], and O. [Akademischer Betreuer] Dössel. "Non-Invasive Electrocardiographic Imaging of Ventricular Activities: Data-Driven and Model-Based Approaches / Danila Potyagaylo. Betreuer: O. Dössel." Karlsruhe : KIT-Bibliothek, 2016. http://d-nb.info/1113109254/34.

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3

Li, Yelei. "Heartbeat detection, classification and coupling analysis using Electrocardiography data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405084050.

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4

Freeman, Leopold C. "A computerized system for the detection of ventricular late potentials in the electrocardiogram." Thesis, Queensland University of Technology, 1990. https://eprints.qut.edu.au/35943/1/35943_Freeman_1990.pdf.

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Ventricular Late Potentials, while there is as yet no universally accepted definition, are generally considered to be abnormal low level activity in the late QH.S and ST regions of the ECG. They are believed to be indicative of reentrant loops in infarcted regions of the ventricular Myocardium, and can predispose a patient to dangerous arrythmias. Since these late potentials are of low amplitude, ( < 40microvolts ) and occur on or near the comparatively large QRS complex, they are obscured in normal ECG recordings. They can, however, be revealed by special data processing techniques, for example signal averaging. In this project, a computer-based signal averaging system was developed to try to detect and quantify this late activity. The system has been used to gather raw ECG data from several patients who have suffered recent episodes of various cardiac dysfunctions.
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5

Molina, Marcos Sleiman. "Estudo comparativo entre a avaliação livre, dirigida e automatizada na assistência ao diagnóstico eletrocardiográfico em crianças e adolescentes." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/5/5131/tde-04102007-131030/.

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No desenvolvimento cardíaco infantil, a mudança na dinâmica vetorial do miocárdio influencia os parâmetros de normalidade, especialmente nos primeiros dias de vida. Estes limites são idade-dependentes, o que torna a análise do eletrocardiograma (ECG) potencialmente mais difícil em crianças que em adultos. Para facilitar esta tarefa, desenvolvemos um sistema interpretativo computadorizado para análise segmentar no ECG pediátrico. Para validar esta ferramenta, 15 cardiologistas pediátricos foram randomicamente distribuídos em três diferentes grupos, segundo abordagem quali-quantitativa, aqui definidas como avaliação livre (AL), dirigida (AD) e automatizada (AA), na análise de 20 ECGs pediátricos, distribuídos em uma proporção mínima de 35% para exames anormais, com 16 segmentos estudados em cada ECG. Na AL, o cardiologista foi solicitado a responder se o segmento em análise estava normal ou não, com liberdade para medir cada segmento antes de responder. Na AD, a mesma pergunta foi formulada, porém com a imposição de uma aferição prévia do segmento em análise. Consultar a tabela de normalidade foi permitida em ambas situações. Na AA, apenas a aferição foi solicitada e o resultado submetido a um software de interpretação segmentar para ECG pediátrico, com a tabela de normalidade em seu banco de dados. As respostas foram comparadas às análises de dois cardiologistas controle e os resultados conflitantes foram considerados discordantes. Foram observadas discordâncias em 11,6%, 10,7% e 6,2% nas AL, AD e AA, respectivamente. O viés de interpretação foi reduzido em 45% (p<0,0001) com o uso da AA. Observou-se maior benefício com a AA nos estudos das ondas Q em avF e em V6 e R em V1. Em análises não automatizadas, a aferição precedente não mudou a avaliação segmentar do ECG. Concluindo, a AA reduziu significativamente o viés interpretativo em análises não automatizadas, a aferição precedente não mudou a interpretação do ECG e o uso deste software permitiu reduzir o erro de análise segmentar em 45%.
During the cardiac development of children, changes in the vectorial dynamics of the myocardium influence upon normality standards, especially during the first days in life. These are age-dependent limits that make the analysis of EKG of children potentially harder than that of adults. Aiming to make this task easier, we designed a computerized interpretation system for segmental analysis of pediatric EKGs. In order to validate this tool, 15 pediatric cardiologists were randomly allocated to three different groups according to qualitative-quantitative evaluation methods herein defined as free (FE), guided (GE) and automatized (AE) evaluation, for the purpose of analyzing 20 pediatric EKG tracings distributed in a proportion of at least 35% abnormal examinations, with 16 segments being studied in each EKG tracing. In FE, cardiologists were asked to answer whether the segment was normal or not, with freedom to measure each segment before giving their answer. In GE, the same question was made, however they were requested to measure the segment before answering. In both situations they were allowed to refer to a table of normality standards. In AE, only the measurement was asked, and the result was then entered into the software for segmental interpretation of pediatric EKGs, whose database included the table of normality standards. Answers were all compared with those given by two control cardiologists. Discordant results were seen in 11.6%, 10.7% and 6.2% of FE, GE and AE, respectively. Interpretation bias was reduced by 45% (p<0.0001) with the use of AE. In the not automatized types of analyses, previous measurement of segments did not alter the segmental evaluation of EKGs . In conclusion, the automatized evaluation significantly reduced interpretation bias, previous measurement did not change the EKG interpretation with the other not automatized methods and the use of this software allowed to reduce the error of segmental analysis in 45%.
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6

Montazeri, Ghahjaverestan Nasim. "Early detection of cardiac arrhythmia based on Bayesian methods from ECG data." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S061/document.

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L'apnée est une complication fréquente chez les nouveaux-nés prématurés. L'un des problèmes les plus fréquents est l'épisode d'apnée bradycardie dont la répétition influence de manière négative le développement de l'enfant. C'est pourquoi les enfants prématurés sont surveillés en continu par un système de monitoring. Depuis la mise en place de ce système, l'espérance de vie et le pronostic de vie des prématurés ont été considérablement améliorés et ainsi la mortalité réduite. En effet, les avancées technologiques en électronique, informatique et télécommunications ont conduit à l'élaboration de systèmes multivoies de monitoring néonatal de plus en plus performants. L'un des principaux signaux exploités dans ces systèmes est l'électrocardiogramme (ECG). Toutefois, même si l'analyse de l'ECG a évolué au fil des années, l'ensemble des informations qu'il fournit n'est pas encore totalement exploité dans les processus de décision, notamment en monitoring en Unité de Soins Intensifs en Néonatalogie (USIN). L'objectif principal de cette thèse est d'améliorer la prise en compte des dynamiques multi-dimensionnelles en proposant de nouvelles approches basées sur un formalisme bayésien, pour la détection précoce des apnées bradycardies chez le nouveau-né prématuré. Aussi, dans cette thèse, nous proposons deux approches bayésiennes, basées sur les caractéristiques de signaux biologiques en vue de la détection précoce de l'apnée bradycardie des nouveaux-nés prématurés. Tout d'abord avec l'approche de Markov caché, nous proposons deux extensions du Modèle de Markov Caché (MMC) classique. La première, qui s'appelle Modèle de Markov Caché Couplé (MMCC), créé une chaîne de Markov à chaque dimension de l'observation et établit un couplage entre les chaînes. La seconde, qui s'appelle Modèle Semi-Markov Caché Couplé (MSMCC), combine les caractéristiques du modèle de MSMC avec le mécanisme de couplage entre canaux. Pour les deux nouveaux modèles (MMCC et MSMCC), les algorithmes récursifs basées sur la version classique de Forward-Backward sont introduits pour résoudre les problèmes d'apprentissage et d'inférence dans le cas couplé. En plus des modèles de Markov, nous proposons deux approches passées sur les filtres de Kalman pour la détection d'apnée. La première utilise les modifications de la morphologie du complexe QRS et est inspirée du modèle générateur de McSharry, déjà utilisé en couplant avec un filtre de Kalman étendu dans le but de détecter des changements subtils de l'ECG, échantillon par échantillon. La deuxième utilise deux modèles AR (l'un pour le processus normal et l'autre pour le processus de bradycardie). Les modèles AR sont appliqués sur la série RR, alors que le filtre de Kalman suit l'évolution des paramètres du modèle AR et fournit une mesure de probabilité des deux processus concurrents
Apnea-bradycardia episodes (breathing pauses associated with a significant fall in heart rate) are the most common disease in preterm infants. Consequences associated with apnea-bradycardia episodes involve a compromise in oxygenation and tissue perfusion, a poor neuromotor prognosis at childhood and a predisposing factor to sudden-death syndrome in preterm newborns. It is therefore important that these episodes are recognized (early detected or predicted if possible), to start an appropriate treatment and to prevent the associated risks. In this thesis, we propose two Bayesian Network (BN) approaches (Markovian and Switching Kalman Filter) for the early detection of apnea bradycardia events on preterm infants, using different features extracted from electrocardiographic (ECG) recordings. Concerning the Markovian approach, we propose new frameworks for two generalizations of the classical Hidden Markov Model (HMM). The first framework, Coupled Hidden Markov Model (CHMM), is accomplished by assigning a Markov chain (channel) to each dimension of observation and establishing a coupling among channels. The second framework, Coupled Hidden semi Markov Model (CHMM), combines the characteristics of Hidden semi Markov Model (HSMM) with the above-mentioned coupling concept. For each framework, we present appropriate recursions in order to use modified Forward-Backward (FB) algorithms to solve the learning and inference problems. The proposed learning algorithm is based on Maximum Likelihood (ML) criteria. Moreover, we propose two new switching Kalman Filter (SKF) based algorithms, called wave-based and R-based, to present an index for bradycardia detection from ECG. The wave-based algorithm is established based on McSarry's dynamical model for ECG beat generation which is used in an Extended Kalman filter algorithm in order to detect subtle changes in ECG sample by sample. We also propose a new SKF algorithm to model normal beats and those with bradycardia by two different AR processes
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Darrington, John Mark. "Real time extraction of ECG fiducial points using shape based detection." University of Western Australia. School of Computer Science and Software Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0152.

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The electrocardiograph (ECG) is a common clinical and biomedical research tool used for both diagnostic and prognostic purposes. In recent years computer aided analysis of the ECG has enabled cardiographic patterns to be found which were hitherto not apparent. Many of these analyses rely upon the segmentation of the ECG into separate time delimited waveforms. The instants delimiting these segments are called the
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Hooshidar, Daniel, and Yobart Amino. "Implementation av portabla REM-identifierande sensorer : Undersökning kring lämpliga, icke-påträngande metoder för REM-igenkänning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232117.

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Trötthet i trafiken är ett stort problem i samhället. Det är särskilt farligt att trött framföra tunga lastbilar i trafiken eftersom dessa fordon är stora och har ofta livsavgörande roller vid inblandning i trafikolyckor. För att angripa problemet har det i denna rapport studerats kring vilket sömnstadie som är lämpligast att vakna under, i syfte att vakna pigg och alert samt vilka typer av tekniker och metoder som är lämpliga för att portabelt kunna detektera Rapid-Eye-Movement. Tidigare arbeten och studier har gjorts som påvisar att uppväckning i REM-sömn är optimalt för att känna sig alert. De valda metoderna är baserade på varianter av väletablerade tekniker som används för identifiering av sömnsteg. Elektrookulografi används för att mäta ögonrörelser med hjälp av fyra elektroder som är placerade på huvudet. Kroppsrörelser upptäcks genom en accelerometer som fästs på armen. Pulsmätningar görs och används för att räkna ut pulsvariansen under sömnen. Målet är att skapa en prototyp som ska känna av när användaren är i REM-sömn och sedan väcka användaren. Detta arbete är uppdelat i två inbyggda system som görs mellan två olika examensarbeten. Resultatet blev tre sensorer som fungerar individuellt. På grund av tidsbrist och en längre felsökning blev prototypen inte färdigställd. Innan sensorerna kan tillämpas i en produkt krävs det att ytterligare tester genomförs under monitorering av en sömnspecialist.
Tiredness in traffic is a major problem in society. It is especially dangerous to drive heavy trucks when tired because these vehicles are large and often have vital roles when involved in traffic accidents. To address the problem, this degree project has studied which sleep stage is most appropriate to wake up during, in order to wake up sharp and alert, and what types of techniques and methods are suitable for portable detection of Rapid-Eye-Movement. Previous work and studies have been done which indicates that awakening during REM sleep is optimal for feeling alert. The chosen methods are based on variants of well-established techniques that are used to identify sleep stages. Electrooculography is used to measure eye movements using four electrodes placed on the head. Body movements are detected by an accelerometer attached to the arm. Pulse measurements are made and used to calculate the pulse variation during sleep. The goal is to create a prototype which will know when the user is in REM sleep and then wake the user up. This work is divided into two embedded systems that are made between two different degree projects. The result was three sensors that worked individually. Due to lack of time and a longer troubleshooting, the prototype was not completed. Before the sensors can be used in a product, additional tests are required under the supervision of a sleep specialist.
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He, Jinyuan. "Automated Heart Arrhythmia Detection from Electrocardiographic Data." Thesis, 2020. https://vuir.vu.edu.au/41284/.

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Heart arrhythmia is a severe heart problem, which threatens people’s lives by pre- venting their hearts from pumping enough blood into vital organs. Arrhythmia has been a major worldwide health problem for years, accounting for nearly 12% of global deaths every year. The research of automated heartbeat classification is highly demanded, which provides a cost-effective screening for heart arrhythmia and allows at-risk patients to receive timely treatments. To construct an effective automated heartbeat classification model from ECG recordings for arrhythmia de- tection, several key challenges must be addressed, including data quality, heartbeat segmentation range, data imbalance problem, intra and inter-patients variations, identification of supraventricular ectopic heartbeats from normal heartbeats, and model interpretability. This thesis comprehensively discusses these challenges and proposes four practical models to gradually tackle the heartbeat classification task. Specifically, in Chapter 3, a model named D-ECG is proposed to solve the problems suffered by previous methods of applying a standalone classifier and us- ing a static feature set to classify all heartbeat types. D-ECG introduces the dynamic ensemble selection techniques in heartbeat classification for the first time and incorporates a result regulator to improve the disease heartbeats detection performance. Although the dynamic ensemble selection technique has introduced visible improvements in the heartbeat classification task, they also brought some disadvantages. The dynamic selection nature, which determines the best classifiers according to the sample to be predicted, can result in a delay of the model predic- tion, making the model less practical in online detection scenarios. In Chapter 4, the author proposes a novel pyramid-like model to tackle this problem. The model adopts a dual-channel classification strategy and customizes a binary classification algorithm that takes neighbor-related information into account to assist disease heartbeats detection. Compared to the D-ECG framework, the pyramid-like model can provide more timely response to an unknown heartbeat while maintaining a good classification performance as the D-ECG framework. It has the potential to be applied in online detection scenarios. In Chapter 5, the author examines the recent advances brought by deep neural networks and proposes a DNN-based solution named Multi-channels Convolution Neural Network (MCHCNN) to solve the problems of current deep-learning based heartbeat classification models. As an improvement, the proposed network accepts raw ECG heartbeat and heart rhythm (RR-intervals) as inputs and uses different sizes of convolution filters in parallel to capture temporal and frequency patterns from ECG signals. The experimental results have shown visible improvements brought by MCHCNN. However, there is still a long way before MCHCNN can make practical impacts because its performance of S-type heartbeats detection is still relatively low. To tackle this problem, the author investigates the potential causes to the problem and proposes an advanced two-step DNN-based classification framework in Chapter 6. Due to the observed difficulty of detecting S-type heart- beats from N -type heartbeats, the proposed framework trains a deep dual-channel convolutional neural network (DDCNN) which accepts segmented heartbeats as input in the first step to classify V-type, F-type and Q-type heartbeats. At this stage, S-type and N-type heartbeats are not the targets, so they are put into one bundle to be studied in the next step. In the second step, a central-towards LSTM supportive model (CLSM) is specially designed to distinguish S-type heart- beats from N-type ones. The RR-intervals of a heartbeat and its neighbors are arranged in sequence form, serving as the input to CLSM. In particular, CLSM learns and extracts hidden temporal dependency between heartbeats by processing the input RR-interval sequence in central-towards directions. Instead of using raw individual RR-intervals, the abstractive, mutual-connected temporal information provides stronger and more stable support for identifying the problematic S-type heartbeats. Besides, as an improvement as well as a necessary driver for activating the CLSM, a rule-based data augmentation method is also proposed to supply high-quality synthetic samples for the under-represented S-type RR-interval se- quences. Extensive experiments are conducted to provide a comprehensive evaluation for each proposed model. The results prove that the research of heartbeat classification presented in this thesis brings practical ideas and solutions to the arrhythmia detection problem.
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Dendamrongvit, Thidarat. "An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data." Thesis, 2006. http://hdl.handle.net/1957/28946.

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Electrocardiogram (ECG) data are stored and analyzed in different formats, devices, and computer platforms. There is a need to have an independent platform to support ECG processes among different resources for the purposes of improving the quality of health care and proliferating the results from research. Currently, ECG devices are proprietary. Devices from different manufacturers cannot communicate with each other. It is crucial to have an open standard to manage ECG data for representation and diagnosis. This research explores methods for representation and diagnosis of ECG by developing an Ontology for shared ECG data based on the Health Level Seven (HL7) standard. The developed Ontology bridges the conceptual gap by integrating ECG waveform data, HL7 standard data descriptions, and cardiac diagnosis rules. The Ontology is encoded in Extensible Markup Language (XML) providing human and machine readable format. Thus, the interoperability issue is resolved and ECG data can be shared among different ECG devices and systems. This developed Ontology also provides a mechanism for diagnostic decision support through an automated ECG diagnosis system for a medical technician or physician in the diagnosis of cardiac disease. An experiment was conducted to validate the interoperability of the Ontology, and also to assess the accuracy of the diagnosis model provided through the Ontology. Results showed 100% interoperability from ECG data provided through eight different databases, and a 93% accuracy in diagnosis of normal and abnormal cardiac conditions.
Graduation date: 2006
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Книги з теми "Electrocardiographic data"

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L, Willems Jos, Bemmel Jan H. van, Zywietz Christoph, International Federation for Information Processing., International Medical Informatics Association, and Commission of the European Communities., eds. Computer ECG analysis--towards standardization: Proceedings of the IFIP-IMIA Working Conference on Computer ECG Analysis, Towards Standardization, Leuven, Belgium, 2-5 June 1985. Amsterdam: North-Holland, 1986.

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2

IEEE Computer Society. Computers in cardiology: October 7-10, 1986, Boston, Massachusetts USA. Washington, D.C: IEEE Computer Society Press, 1987.

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3

Inglis, Roland. Einsatz der elektronischen Datenverarbeitung in der Intensivmedizin vorwiegend am Beispiel des Elektrokardiogramms. Frankfurt am Main: Lang, 1986.

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De Los Santos, Marco, and Max Hirshkowitz. Scoring of sleep stages, breathing, and arousals. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0008.

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This chapter summarizes scoring guidelines for sleep stages, breathing (airflow and respiratory effort), and arousals based on the principles enumerated by the American Academy of Sleep Medicine (AASM). Current established clinical standards are largely based on those published by the AASM and rules implemented by Centers for Medicare and Medicaid services in the USA. These rules include scoring of rapid eye movement (REM) and non-REM (NREM) sleep stages, central nervous system (CNS) arousals, and breathing events. Other clinically relevant polysomnographic events exist (eg, limb movements, bruxism, and electrocardiographic events) but such events are beyond the scope of this chapter. The material presented in this chapter can serve as a framework to provide general information to patients and clinicians about methods of performing the tests and gathering summary data.
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W, Mortara David, Ideker Raymond E, Bailey James J, Engineering Foundation (U.S.), and Engineering Foundation Conference on Computerized Interpretation of the Electrocardiogram. (9th : 1984 : Easton, Md.), eds. Computerized interpretation of the electrocardiogram: Proceedings of the 1984 Engineering Foundation Conference: June 14-18, 1984, Tidewater Inn, Easton Maryland. New York: Engineering Foundation, 1985.

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6

A Practical Guide to the Use of the High-Resolution Electrocardiogram. Futura Publishing Company, 2000.

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Bailey, James J. Computerized Interpretation of the Electrocardiogram (Computerized Interpretation of the Electrocardiogram). Engineering Foundation, 1985.

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8

Advanced Methods And Tools for ECG Data Analysis. Artech House Publishers, 2006.

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9

Hajhosseiny, Reza, Kaivan Khavandi, and David J. Goldsmith. Sudden cardiac death in chronic kidney disease. Edited by David J. Goldsmith. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0108.

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Epidemiological data demonstrate the unique vulnerability of chronic kidney disease (CKD) subjects to cardiovascular disease, the most catastrophic being sudden cardiac death (SCD). In patients with declining kidney function there is a continuum of cardiovascular risk. In those individuals who survive to reach end-stage renal disease (ESRD), the risk of suffering a cardiac event is extremely high. Some of this risk is explained by the common risk factors and traditional cardiovascular events, namely atherosclerotic plaque fissure and rupture, but there is now evidence of a distinct ‘later CKD’ mechanism, notably arrhythmias. This appears particularly true in later stages of CKD and corresponds with the multifaceted range of myocardial and vascular insults operating. The physiological milieu of disordered vessel autoregulation, sequestered vasoprotective agents, loss of conduit and small artery elasticity/compliance, a stiffened and fibrotic myocardium, with calcified and diseased coronary arteries, all within an inflammatory environment, all contribute to arrhythmia generation. The final insult is changes in volume and electrolyte status. Risk stratification tools would be helpful in guiding clinicians to recognize those subjects likely to benefit from specific interventional strategies. These might include the novel, or emerging serum, haemodynamic, or electrocardiographic biomarkers in CKD. Current tools—such as those used for stratifying risk for SCD and determining the need for ICD implantation—are not valid in ESRD patients. Beta blockers appear likely to be generally advisable, blood pressure permitting, for patients with significant cardiomyopathy. Evidence for implantable cardiac defibrillators (ICD) is lacking. There is good reason to think that young dialysis patients at high risk of sudden death may benefit, but the risk/benefit ratio for older patients is less likely to be advantageous. These hypotheses need further investigation.
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Mitra, Madhuchhanda, Rajarshi Gupta, and Jitendranath Bera. ECG Acquisition and Automated Remote Processing. Springer, 2016.

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Частини книг з теми "Electrocardiographic data"

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Becerra, M. A., C. Duque-Mejía, C. Zapata-Hernández, D. H. Peluffo-Ordóñez, L. Serna-Guarín, Edilson Delgado-Trejos, E. J. Revelo-Fuelagán, and X. P. Blanco Valencia. "Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems." In Intelligent Data Engineering and Automated Learning – IDEAL 2018, 410–18. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03493-1_43.

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Chen, Lili, Changyue Song, and Xi Zhang. "Statistical Modeling of Electrocardiography Signal for Subject Monitoring and Diagnosis." In Healthcare Analytics: From Data to Knowledge to Healthcare Improvement, 95–126. Hoboken, New Jersey: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118919408.ch4.

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Hu, Jiayuan, and Yong Li. "Electrocardiograph Based Emotion Recognition via WGAN-GP Data Enhancement and Improved CNN." In Intelligent Robotics and Applications, 155–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13844-7_16.

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"ECG Data Acquisition Procedures and Maintenance of Recording Quality Including Technician Training." In The Minnesota Code Manual of Electrocardiographic Findings, 206–25. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-778-3_14.

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Svorc Jr, Pavol, and Pavol Svorc. "Rat Electrocardiography and General Anesthesia." In Cardiovascular Diseases [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104928.

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General anesthesia is an established and well-known factor with a significant impact on cardiac parameters, which can be a problem in the final evaluation of changes in the individual electrophysiological myocardial parameters after various interventions. The present chapter provides a composite review of published data on electrocardiographic parameters (heart rate, PR interval, P wave duration, P wave amplitude, QRS complex, QT and QTc interval duration, and R wave and T wave amplitude) for in vivo rat experiments under general anesthesia from 130 articles, which were retrieved from a search of the Web of Science database, for articles published mainly between 2000 and 2021. ECG parameters reported as baseline or control values were summarized, and averages with ranges were calculated. It is important to be cautious in interpreting the results of such studies and discussions addressing the mechanisms underlying a given type of arrhythmia, it is important to acknowledge that initial ECG parameters may already be affected to some extent by general anesthesia as well as by sex and the time of day the experiments are performed. Although it is not an original research work, researchers working with rats in the laboratory, who routinely perform anesthesia, can use this as a reference to look into while analyzing their data.
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Ivan Gonzalez-Fernandez, Rene, Margarita Mulet-Cartaya, Gisela Montes de Oca-Colina, Jorge Aguilera-Perez, Juan Dayron Lopez-Cardona, and Jose Luis Hernandez-Caceres. "Low-cost Approaches to Follow-up Cardiac Patients in Low-Income Countries using Public Data Networks." In Biomedical Engineering. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.108222.

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The main characteristics of three approaches to cardiac care using public data networks are presented. All efforts were addressed to get minimum-cost solutions for low-budget public health systems. The first solution was developed to follow-up arrhythmic patients between medical consultations, setting a more closed patient-physician relationship, and a daily recording of cardiac rhythm changes. It is based on a personal battery-powered device for one-channel ECG recording, minimizing electrode setting and operation complexity. An ECG recording taken daily allows a detailed analysis anytime without the patient’s traveling to a health institution. A second solution was aimed at monitoring high-risk cardiac patients. A 24-h portable device capable of monitoring heart rate and sudden falls, typically associated with cardiac syncope, was developed. When any cardiac event or fall is detected, an urgent message is sent to relatives and the medical emergency care system asking for help. The third system implemented is oriented to the study of different cardiac parameters in people who suffer from heart disease or in those who are prone to suffering from it. Twelve-lead ECG is recorded periodically by each patient and trend graphics reflect ECG parameters strongly associated with cardiac disturbances, such as sudden death and ischemia. This approach allows the detection of the first troubling electrocardiographic deviations, making possible early medical intervention.
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Georgieva-Tsaneva, Galya Nikolova. "Mathematical Processing of Cardiological Signals and Organization of Access to Holter Databases." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 266–90. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7879-6.ch012.

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The study of human cardiovascular activity is one of the main methods for assessing the health of the human. It is performed in clinical conditions via electrocardiographic devices and in the daily life of a individuals through Holter monitoring. An important diagnostic parameter that can be determined by an electrocardiogram, taking into account the difference between successive heartbeat is heart rate variability – a widely used non-invasive method of measuring heart rate. This parameter makes it possible to assess the risk of various cardiac diseases such as angina, cardiac infarction, life-threatening arrhythmias, etc. This chapter presents the morphological bases of the cardio records, heart rate variability, and its impact on the healthy status of the individual. It describes the created cardiology base of prolongated Holter recordings for the purposes of scientific research project. Presented are internationally approved standards to provide web accessibility to internet-based data bases and other resources for people with disabilities.
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Kern, Morton J. "Hemodynamic Data and Basic Electrocardiography." In The Cardiac Catheterization Handbook, 91–144. Elsevier, 2011. http://dx.doi.org/10.1016/b978-0-323-07902-0.10003-0.

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Lyon, Alexander, Mark Sweeney, and Elmir Omerovic. "Takotsubo syndrome." In The ESC Handbook on Cardiovascular Pharmacotherapy, edited by Alexander Niessner, Sven Wassmann, and Udo Sechtem, 123–40. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198759935.003.0008.

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Takotsubo syndrome is an acute heart failure syndrome characterized by acute, reversible ventricular dysfunction, often in response to a physical or an emotional stressor. Takotsubo syndrome mimics acute myocardial infarction, presenting as chest pain or breathlessness, with electrocardiographic changes and troponin elevation, but with no explanatory coronary artery lesions on coronary angiography. It is increasingly commonly recognized in recent years as a cause of acute chest pain presentations. Although the majority of patients have a good prognosis following an episode of Takotsubo syndrome, it is becoming apparent that there is a significant burden of morbidity and mortality associated with this condition. The pathophysiology is likely to relate to an acute surge of catecholamines in response to stress, which results in multiple effects on the myocardium and vascular system. Currently, trial evidence is lacking, and management is based on clinical opinion, with optimal supportive care and avoidance of catecholamines as the mainstay of treatment in the acute phase. Non-catecholamine-related inotropes, such as levosimendan, have been reported in patients who require inotropic support, with anecdotal success. However, early consideration of referral to specialist centres for mechanical circulatory support is important in these severe cases. Evidence for medication to minimize recurrence is limited. Some observational data suggest angiotensin-converting enzyme inhibitors and beta-blockers may be beneficial in reducing mortality and preventing recurrence. However, there are no prospective data to inform treatment, and current management is guided by expert consensus.
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Langhan, Melissa, and Seth Wolf. "Noninvasive Blood Pressure Monitoring and Electrocardiography." In The Pediatric Procedural Sedation Handbook, edited by Cheryl K. Gooden, Lia H. Lowrie, and Benjamin F. Jackson, 92–97. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190659110.003.0014.

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There is a lack of data about the benefits of cardiovascular monitoring with continuous 3-lead electrocardiography (ECG) and intermittent noninvasive cuff blood pressure (BP) during procedural sedation and analgesia (PSA) in the pediatric population. However, these two safe modalities are important for patients during higher levels of PSA because of the risk of rare life-threatening conditions and to help identify possible medication side effects and drug interactions of common sedative medications. These monitoring modalities can also aid in determining the adequacy of sedation. It is generally accepted that a baseline determination of heart rate and BP should be obtained prior to any sedative administration. With deeper levels of sedation and throughout recovery, continuous 3-lead ECG and intermittent BP monitoring are recommended, in addition to other modalities such as pulse oximetry and capnography, to monitor the safety of the patient.
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Тези доповідей конференцій з теми "Electrocardiographic data"

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Bucolo, M., R. Caponetto, G. Dongola, A. Gallo, and F. Sapuppo. "An FPGA based approach for nonlinear characterization of Electrocardiographic data." In 2010 IEEE International Symposium on Industrial Electronics (ISIE 2010). IEEE, 2010. http://dx.doi.org/10.1109/isie.2010.5636316.

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Castillo, Oscar Daniel Diaz, Luz Janneth Parra Ayala, Airan Leonardo Carreno Perez, Jose Misael Cubillos Jimenez, Yohana Lyceth Corba Castano, and Diana Marcela Munoz-Sarmiento. "Supervised learning system for detection of cardiac arrhythmias based on electrocardiographic data." In 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom). IEEE, 2019. http://dx.doi.org/10.1109/healthcom46333.2019.9009601.

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Erenler, Taha, and Yesim Serinagaoglu Dogrusoz. "Effects of Prior Data on the Inference and Filtering Based Electrocardiographic Imaging." In 2019 Computing in Cardiology Conference. Computing in Cardiology, 2019. http://dx.doi.org/10.22489/cinc.2019.292.

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Ledezma, Carlos A., Erika Severeyn, Gilberto Perpinan, Miguel Altuve, and Sara Wong. "A new on-line electrocardiographic records database and computer routines for data analysis." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944189.

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Deng, Yunziwei, Xiaohui Duan, Bingli Jiao, Tiangang Zhu, and Zhilong Wang. "Electrocardiographic criteria for the diagnosis of left ventricular hypertrophy based on data mining." In 2017 10th Biomedical Engineering International Conference (BMEiCON). IEEE, 2017. http://dx.doi.org/10.1109/bmeicon.2017.8229108.

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Chia, Chih-Chun, and Zeeshan Syed. "Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks." In KDD '14: The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2623330.2623702.

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Serinagaoglu Dogrusoz, Yesim, and Taha Erenler. "Use of Simulated Data for the Estimation of Prior Models in Kalman Filter-Based Electrocardiographic Imaging." In 2020 Computing in Cardiology Conference. Computing in Cardiology, 2020. http://dx.doi.org/10.22489/cinc.2020.329.

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Bertocchi, S., E. Pedretti, R. Rovelli, L. Serafini, A. Drera, M. Riccardi, F. Ravasio, E. Vizzardi, F. Franceschini, and M. Fredi. "PO.3.56 Anti- Ro/SSA antibodies and electrocardiographic abnormalities in SLE patients: preliminary data of a multidisciplinary study in a monocentric cohort." In 13th European Lupus Meeting, Stockholm (October 5–8, 2022). Lupus Foundation of America, 2022. http://dx.doi.org/10.1136/lupus-2022-elm2022.86.

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Mesihović-Dinarević, Senka. "UPDATE IN DIAGNOSTICS CARDIOLOGY." In International Scientific Symposium “Diagnostics in Cardiology and Grown-Up Congenital Heart Disease (GUCH)”. Academy of Sciences and Arts of Bosnia and Herzegovina, 2021. http://dx.doi.org/10.5644/pi2021.199.02.

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Анотація:
Cardiovascular medicine is an area of clinical practice with a continually rapid expansion of knowledge, guidelines, best practices and new technology in adult cardiovascular medicine as well as in paediatric cardiology medicine. Cardiovascular diseases (CVD) are the leading cause of mortality in the world and cause major costs for the health sector and economy. Cardiovascular imaging indices have a significant impact on the prevention, diagnosis, and treatment of cardiac diseases. Advanced imaging technologies have dramatically improved our ability to detect and treat cardiovascular disease at an early stage. Multimodality imaging techniques - echocardiogram, cardiac computerized tomography, magnetic resonance imaging, simulation 3D models, artificial intelligence - are being used more frequently as their utility is better appreciated. Coronavirus disease 2019 (COVID-19) exerts an unprecedented global impact on public health and health care delivery. Severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) causing COVID-19 has reached pandemic levels since March 2020. Patients with cardiovascular (CV) risk factors and established CVD represent a vulnerable population when suffering from COVID-19, and have an increased risk of morbidity and mortality. Severe COVID-19 infection is associated with myocardial damage and cardiac arrhythmia. Diagnostic workup during SARS infection revealed electrocardiographic changes, sub-clinical left ventricular (LV) diastolic impairment and troponin elevation. All professionals in cardiovascular medicine, as a part of lifelong learning process, have the continuous imperative in reviewing novelties, with results data from numerous researches in order to treat all patients according to best practices and evidence-based medicine, especially on this journey through corona pandemic.
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Acker, Alexander, Florian Schmidt, Anton Gulenko, Reinhard Kietzmann, and Odej Kao. "Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258387.

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Звіти організацій з теми "Electrocardiographic data"

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Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42562.

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This paper investigates the feasibility of using non-cerebral, time-series data to detect epileptic seizures. Data were recorded from fifteen patients (7 male, 5 female, 3 not noted, mean age 36.17 yrs), five of whom had a total of seven seizures. Patients were monitored in an inpatient setting using standard video electroencephalography (vEEG), while also wearing sensors monitoring electrocardiography, electrodermal activity, electromyography, accelerometry, and audio signals (vocalizations). A systematic and detailed study was conducted to identify the sensors and the features derived from the non-cerebral sensors that contribute most significantly to separability of data acquired during seizures from non-seizure data. Post-processing of the data using linear discriminant analysis (LDA) shows that seizure data are strongly separable from non-seizure data based on features derived from the signals recorded. The mean area under the receiver operator characteristic (ROC) curve for each individual patient that experienced a seizure during data collection, calculated using LDA, was 0.9682. The features that contribute most significantly to seizure detection differ for each patient. The results show that a multimodal approach to seizure detection using the specified sensor suite is promising in detecting seizures with both sensitivity and specificity. Moreover, the study provides a means to quantify the contribution of each sensor and feature to separability. Development of a non-electroencephalography (EEG) based seizure detection device would give doctors a more accurate seizure count outside of the clinical setting, improving treatment and the quality of life of epilepsy patients.
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Wideman, Jr., Robert F., Nicholas B. Anthony, Avigdor Cahaner, Alan Shlosberg, Michel Bellaiche, and William B. Roush. Integrated Approach to Evaluating Inherited Predictors of Resistance to Pulmonary Hypertension Syndrome (Ascites) in Fast Growing Broiler Chickens. United States Department of Agriculture, December 2000. http://dx.doi.org/10.32747/2000.7575287.bard.

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Background PHS (pulmonary hypertension syndrome, ascites syndrome) is a serious cause of loss in the broiler industry, and is a prime example of an undesirable side effect of successful genetic development that may be deleteriously manifested by factors in the environment of growing broilers. Basically, continuous and pinpointed selection for rapid growth in broilers has led to higher oxygen demand and consequently to more frequent manifestation of an inherent potential cardiopulmonary incapability to sufficiently oxygenate the arterial blood. The multifaceted causes and modifiers of PHS make research into finding solutions to the syndrome a complex and multi threaded challenge. This research used several directions to better understand the development of PHS and to probe possible means of achieving a goal of monitoring and increasing resistance to the syndrome. Research Objectives (1) To evaluate the growth dynamics of individuals within breeding stocks and their correlation with individual susceptibility or resistance to PHS; (2) To compile data on diagnostic indices found in this work to be predictive for PHS, during exposure to experimental protocols known to trigger PHS; (3) To conduct detailed physiological evaluations of cardiopulmonary function in broilers; (4) To compile data on growth dynamics and other diagnostic indices in existing lines selected for susceptibility or resistance to PHS; (5) To integrate growth dynamics and other diagnostic data within appropriate statistical procedures to provide geneticists with predictive indices that characterize resistance or susceptibility to PHS. Revisions In the first year, the US team acquired the costly Peckode weigh platform / individual bird I.D. system that was to provide the continuous (several times each day), automated weighing of birds, for a comprehensive monitoring of growth dynamics. However, data generated were found to be inaccurate and irreproducible, so making its use implausible. Henceforth, weighing was manual, this highly labor intensive work precluding some of the original objectives of using such a strategy of growth dynamics in selection procedures involving thousands of birds. Major conclusions, solutions, achievements 1. Healthy broilers were found to have greater oscillations in growth velocity and acceleration than PHS susceptible birds. This proved the scientific validity of our original hypothesis that such differences occur. 2. Growth rate in the first week is higher in PHS-susceptible than in PHS-resistant chicks. Artificial neural network accurately distinguished differences between the two groups based on growth patterns in this period. 3. In the US, the unilateral pulmonary occlusion technique was used in collaboration with a major broiler breeding company to create a commercial broiler line that is highly resistant to PHS induced by fast growth and low ambient temperatures. 4. In Israel, lines were obtained by genetic selection on PHS mortality after cold exposure in a dam-line population comprising of 85 sire families. The wide range of PHS incidence per family (0-50%), high heritability (about 0.6), and the results in cold challenged progeny, suggested a highly effective and relatively easy means for selection for PHS resistance 5. The best minimally-invasive diagnostic indices for prediction of PHS resistance were found to be oximetry, hematocrit values, heart rate and electrocardiographic (ECG) lead II waves. Some differences in results were found between the US and Israeli teams, probably reflecting genetic differences in the broiler strains used in the two countries. For instance the US team found the S wave amplitude to predict PHS susceptibility well, whereas the Israeli team found the P wave amplitude to be a better valid predictor. 6. Comprehensive physiological studies further increased knowledge on the development of PHS cardiopulmonary characteristics of pre-ascitic birds, pulmonary arterial wedge pressures, hypotension/kidney response, pulmonary hemodynamic responses to vasoactive mediators were all examined in depth. Implications, scientific and agricultural Substantial progress has been made in understanding the genetic and environmental factors involved in PHS, and their interaction. The two teams each successfully developed different selection programs, by surgical means and by divergent selection under cold challenge. Monitoring of the progress and success of the programs was done be using the in-depth estimations that this research engendered on the reliability and value of non-invasive predictive parameters. These findings helped corroborate the validity of practical means to improve PHT resistance by research-based programs of selection.
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