Academic literature on the topic 'Segment ST-T'
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Journal articles on the topic "Segment ST-T"
Widodo, Gipta Galih, Elly Nurachmah, and Budiharto Budiharto. "Efek Cold Pressor Test Terhadap Pasokan dan Kebutuhan Oksigen Miokard Pada Perokok Aktif di Kecamatan Ungaran Kabupaten Semarang." Jurnal Keperawatan Indonesia 12, no. 1 (March 24, 2008): 14–20. http://dx.doi.org/10.7454/jki.v12i1.194.
Full textXiao, Li, Tao Bai, Junchao Zeng, Rui Yang, and Ling Yang. "Nonalcoholic fatty liver disease, a potential risk factor of non-specific ST-T segment changes: data from a cross-sectional study." PeerJ 8 (May 13, 2020): e9090. http://dx.doi.org/10.7717/peerj.9090.
Full textRapp, H. J., S. Rabethge, T. Luiz, and P. Haux. "Perioperative ST-segment depression and troponin T release." Acta Anaesthesiologica Scandinavica 43, no. 2 (February 1999): 124–29. http://dx.doi.org/10.1034/j.1399-6576.1999.430202.x.
Full textIvanov, Igor, Anastazija Stojsic-Milosavljevic, Vladimir Ivanovic, Milos Trajkovic, Aleksandra Vulin, and Milenko Cankovic. "ST elevation myocardial infarction equivalent - De Winter T-wave electrocardiography pattern." Medical review 71, no. 7-8 (2018): 265–69. http://dx.doi.org/10.2298/mpns1808265i.
Full textMeijs, Loek P. B., Loriano Galeotti, Esther P. Pueyo, Daniel Romero, Robert B. Jennings, Michael Ringborn, Stafford G. Warren, Galen S. Wagner, and David G. Strauss. "An electrocardiographic sign of ischemic preconditioning." American Journal of Physiology-Heart and Circulatory Physiology 307, no. 1 (July 1, 2014): H80—H87. http://dx.doi.org/10.1152/ajpheart.00419.2013.
Full textSONG, JINZHONG, HONG YAN, ZHIJUN XIAO, XIANGLIN YANG, and XIAODONG ZHANG. "A ROBUST AND EFFICIENT ALGORITHM FOR ST–T COMPLEX DETECTION IN ELECTROCARDIOGRAMS." Journal of Mechanics in Medicine and Biology 11, no. 05 (December 2011): 1103–11. http://dx.doi.org/10.1142/s0219519411004198.
Full textDejanovic, Jadranka, Anastazija Stojsic-Milosavljevic, Milos Trajkovic, Tanja Popov, and Aleksandra Ilic. "Atypical electrocardiographic presentations of myocardial infarction with ST elevation - ST elevation myocardial infarction equivalents." Medical review 71, no. 7-8 (2018): 241–46. http://dx.doi.org/10.2298/mpns1808241d.
Full textBeckenbauer, Dominik, Valeria Martínez Pereyra, and Peter Ong. "STEMI-Äquivalente im EKG – eine fallbasierte Darstellung." DMW - Deutsche Medizinische Wochenschrift 145, no. 05 (March 2020): 318–26. http://dx.doi.org/10.1055/a-0999-0101.
Full textKumar, Amit, and Mandeep Singh. "Statistical analysis of ST segments in ECG signals for detection of ischaemic episodes." Transactions of the Institute of Measurement and Control 40, no. 3 (October 7, 2016): 819–30. http://dx.doi.org/10.1177/0142331216667811.
Full textChronister, Connie. "Improving Nurses’ Knowledge of Continuous ST-Segment Monitoring." AACN Advanced Critical Care 25, no. 2 (April 1, 2014): 104–13. http://dx.doi.org/10.4037/nci.0000000000000029.
Full textDissertations / Theses on the topic "Segment ST-T"
Tannenberg, Milan. "Analýza ST-T segmentů v signálech EKG se zaměřením na alternace vlny T." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-233444.
Full textAlquézar, Arbé Aitor. "Troponina T d'elevada sensibilitat per a l'exclusió precoç de l'infart agut de miocardi sense elevació del segment st." Doctoral thesis, Universitat Autònoma de Barcelona, 2014. http://hdl.handle.net/10803/284855.
Full textBackground: Chest pain suggestive of myocardial ischemia is a very common chief complaint in the Emergency Department. However, myocardial ischemia is ruled out in the majority of these cases. It is necessary to optimize the diagnostic management of chest pain. A rise and/or fall (Δ value) in levels in cTn is obligatory criteria for the diagnosis of NSTEMI. The development and introduction of new immunoassay (hs-cTnT) have changed the diagnostic approach of NSTEMI. This immunoassay not only facilitates early diagnosis of NSTEMI, but it also allows the diagnosis of small size NSTEMI. This immunoassay is highly specific tool for diagnosing myocardial injury; however, they do not identify the cause of myocardial injury. As a consequence, hs-cTnT can be elevated in many situations different of a thrombotic occlusion of a coronary artery. It is recommended the implementation of algorithms based on hs-cTnT for the early diagnosis of NSTEMI, although there are unresolved questions about its use: Implementation of rapid diagnostic algorithms for NSTEMI. Best moment for sample collection. Optimal Δ value (absolute or relative) for NSTEMI diagnosis. Objectives: To validate an algorithm for early exclusion of acute myocardial infarction diagnosis. To evaluate the best moment to sample collection and to determine the optimal kinetic change for the diagnosis of NSTEMI. Methods: Prospective cohort enrolled in an emergency department of a university hospital. Sample collection were obtained at study inclusion, and at 1 hour, 2 hours and >4 hours Results: Determination 0->4hours has a better diagnostic performance than 0-1h or 0-2h (p>0.05). In this interval, there is no difference between relative and absolute Δ values (p=0.36). The use of an algorithm 0->4h with absolute or relative Δ values allows to exclude NSTEMI (Sensitivity 100%). The use of an algorithm 0-1h generates a group of patients who require additional criteria to confirm or exclude NSTEMI. Conclusions: Using an algorithm with 0->4h with absolute or relative Δ value allows to exclude NSTEMI. In selected cases, it is possible to confirm or exclude the diagnosis with a single sample. In some situations, it can be useful an algorithm with 0-1h with absolute Δ value. These algorithms cannot be used to discharge patients without NSTEMI. Some of these cases are unstable anginas and require additional tests for diagnosis.
Hadjem, Medina. "Contribution à l'analyse et à la détection automatique d'anomalies ECG dans le cas de l'ischémie myocardique." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB011.
Full textRecent advances in sensing and miniaturization of ultra-low power devices allow for more intelligent and wearable health monitoring sensor-based systems. The sensors are capable of collecting vital signs, such as heart rate, temperature, oxygen saturation, blood pressure, ECG, EMG, etc., and communicate wirelessly the collected data to a remote device and/or smartphone. Nowadays, these aforementioned advances have led a large research community to have interest in the design and development of new biomedical data analysis systems, particularly electrocardiogram (ECG) analysis systems. Aimed at contributing to this broad research area, we have mainly focused in this thesis on the automatic analysis and detection of coronary heart diseases, such as Ischemia and Myocardial Infarction (MI), that are well known to be the leading death causes worldwide. Toward this end, and because the ECG signals are deemed to be very noisy and not stationary, our challenge was first to extract the relevant parameters without losing their main features. This particular issue has been widely addressed in the literature and does not represent the main purpose of this thesis. However, as it is a prerequisite, it required us to understand the state of the art proposed methods and select the most suitable one for our work. Based on the ECG parameters extracted, particularly the ST segment and the T wave parameters, we have contributed with two different approaches to analyze the ECG records: (1) the first analysis is performed in the time series level, in order to detect abnormal elevations of the ST segment and the T wave, known to be an accurate predictor of ischemia or MI; (2) the second analysis is performed at the ECG beat level to automatically classify the ST segment and T wave anomalies within different categories. This latter approach is the most commonly used in the literature. However, lacking a performance comparison standard in the state of the art existing works, we have carried out our own comparison of the actual classification methods by taking into account diverse ST and T anomaly classes, several performance evaluation parameters, as well as several ECG signal leads. To obtain more realistic performances, we have also performed the same study in the presence of other frequent cardiac anomalies, such as arrhythmia. Based on this substantial comparative study, we have proposed a new classification approach of seven ST-T anomaly classes, by using a hybrid of the boosting and the random under sampling methods, our goal was ultimately to reach the best tradeoff between true-positives and false-positives
Books on the topic "Segment ST-T"
Erlinge, David, and Göran Olivecrona. Diagnosis and management of non-STEMI coronary syndromes. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0146.
Full textBook chapters on the topic "Segment ST-T"
Brady, William J. "Chest Pain with Electrocardiographic ST-Segment/T-Wave Abnormalities." In Visual Diagnosis in Emergency and Critical Care Medicine, 26–27. Oxford, UK: Blackwell Publishing Ltd, 2008. http://dx.doi.org/10.1002/9780470755921.ch41.
Full textBrady, William J. "Chest Pain with Electrocardiographic ST Segment and T Wave Abnormalities." In Visual Diagnosis in Emergency and Critical Care Medicine, 58. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444397994.ch86.
Full text"Chest Pain with Electrocardiographic ST-Segment/T-Wave Abnormalities." In Visual Diagnosis in Emergency and Critical Care Medicine, 103–4. Oxford, UK: Blackwell Publishing Ltd, 2008. http://dx.doi.org/10.1002/9780470755921.ch141.
Full text"Chest Pain with Electrocardiographic ST Segment and T Wave Abnormalities." In Visual Diagnosis in Emergency and Critical Care Medicine, 159–60. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444397994.ch196.
Full text"ST Segment Depression (4-Codes) and Negative T-Waves (5-Codes)." In The Minnesota Code Manual of Electrocardiographic Findings, 60–97. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-778-3_7.
Full textMigliore, Federico, Sebastiano Gili, and Domenico Corrado. "ECG features and arrhythmias in takotsubo syndrome." In ESC CardioMed, 1298–301. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0320.
Full textCitro, Rodolfo, and Eduardo Bossone. "Diagnostic testing in takotsubo syndrome." In ESC CardioMed, 1294–98. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0319.
Full textStuart, Graham, and Guido E. Pieles. "The athlete’s heart in children and adolescents." In The ESC Textbook of Sports Cardiology, edited by Antonio Pelliccia, Hein Heidbuchel, Domenico Corrado, Mats Börjesson, and Sanjay Sharma, 32–41. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198779742.003.0004.
Full textHalder, Basudev, Sucharita Mitra, and Madhuchhanda Mitra. "Healthcare Automation System by Using Cloud-Based Telemonitoring Technique for Cardiovascular Disease Classification." In Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery, 474–93. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8052-3.ch025.
Full textConference papers on the topic "Segment ST-T"
Greenhut, S. E., B. H. Chadi, J. W. Lee, J. M. Jenkins, and J. M. Nicklas. "A template boundary algorithm for ST-T segment analysis." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.94380.
Full textHadjem, Medina, Farid Nait-Abdesselam, and Ashfaq Khokhar. "ST-segment and T-wave anomalies prediction in an ECG data using RUSBoost." In 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). IEEE, 2016. http://dx.doi.org/10.1109/healthcom.2016.7749493.
Full textKhullar, N., A. Ibrahim, J. Saunders, C. Ahern, K. Mannix, C. Cahill, and TJ Kiernan. "16 Prognostic value of high-sensitivity cardiac troponin T in patients with ST-segment-elevation myocardial infarction." In Irish Cardiac Society Annual Scientific Meeting & AGM, Thursday October 4th – Saturday October 6th 2018, Galway Bay Hotel, Galway, Ireland. BMJ Publishing Group Ltd and British Cardiovascular Society, 2018. http://dx.doi.org/10.1136/heartjnl-2018-ics.16.
Full textKordenat, K., and J. Leasure. "PROTECTIVE EFFECT OF CARNITINE (ST-261, SIGMA-TAU) IN ACUTE MYOCARDIAL INFARCTION IN DOGS." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643012.
Full textAbboud, S., A. Beker, and B. Strasberg. "Analysis of high frequency MID-QRS potentials vs ST segment and T wave analysis for the diagnosis of ischemic heart disease." In Computers in Cardiology, 2003. IEEE, 2003. http://dx.doi.org/10.1109/cic.2003.1291281.
Full textOktivasari, Prihatin, M. Hasyim, Amy HS, Freddy H, and Suprijadi. "A Simple Real-Time System for Detection of Normal and Myocardial Ischemia in The ST segment and T Wave ECG Signal." In 2019 International Conference on Information and Communications Technology (ICOIACT). IEEE, 2019. http://dx.doi.org/10.1109/icoiact46704.2019.8938461.
Full textPalliyali, Abdul Jaleel, Reza Tafreshi, Nasreen Mohsin, and Leyla Tafreshi. "A Comprehensive Algorithm for the Analysis of ECG Waveforms." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87553.
Full textMcGill, D., J. McGuiness, and N. Ardlie. "PLATELET FUNCTION ASSOCIATED WITH EXERCISE INDUCED MYOCARDIAL ISCHAEMIA: MODIFICATION BY COMBINED BETA-BL0CKER AND CALCIUM ENTRY BLOCKER THERAPY." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643011.
Full textFreire, Fernanda Fonsêca Monteiro, Bárbara Monique De Freitas Vasconcelo, Caio Marques Da Silva, Juliana Minervina De Souza Freire, and Luisy Karen Lemos Costa. "DIAGNOSTICANDO A ESTENOSE AÓRTICA: EXAMES DIFERENCIAIS." In II Congresso Brasileiro de Saúde On-line. Revista Multidisciplinar em Saúde, 2021. http://dx.doi.org/10.51161/rems/1501.
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