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Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Uhlig, Stefan. "Heart Rate Variability." Doctoral thesis, Universitätsbibliothek Chemnitz, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-233101.

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Ein gesunder Herzschlag zeichnet sich nicht dadurch aus, dass er besonders regelmäßig ist. Vielmehr sollte ein gesunder Herzschlag, selbst in Phasen augenscheinlicher körperlicher Inaktivität, variabel sein (z.B. Appelhans & Luecken, 2006; Berntson et al., 1997; Shaffer, McCraty, & Zerr, 2014). Historisch gesehen ist dies keine völlig neue Erkenntnis – bereits in der frühen chinesischen und griechischen Medizin konnte dieses Phänomen beobachtet werden (einen schönen Überblick hierzu gibt Billman, 2011). Das Zusammenwirken der sympathischen und parasympathischen Bestandteile des autonomen Nerve

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2

Sattar, Nedal Abdul. "Heart rate variability in man." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/30723.

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Kurths, Jürgen, A. Voss, Annette Witt, P. Saparin, H. J. Kleiner, and N. Wessel. "Quantitative analysis of heart rate variability." Universität Potsdam, 1994. http://opus.kobv.de/ubp/volltexte/2007/1347/.

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In the modern industrialized countries every year several hundred thousands of people die due to the sudden cardiac death. The individual risk for this sudden cardiac death cannot be defined precisely by common available, non-invasive diagnostic tools like Holter-monitoring, highly amplified ECG and traditional linear analysis of heart rate variability (HRV). Therefore, we apply some rather unconventional methods of nonlinear dynamics to analyse the HRV. Especially, some complexity measures that are basing on symbolic dynamics as well as a new measure, the renormalized entropy, detect some abn

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4

Migeotte, Pierre-François. "Heart rate variability :applications in microgravity." Doctoral thesis, Universite Libre de Bruxelles, 2003. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211257.

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Berndtsson, Andreas. "Heart Rate Variability Biofeedback for Android." Thesis, KTH, Medicinsk teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136687.

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Heart rate variability (HRV) is the variations in time between consecutive heart beats, and reflects the functioning of the autonomic nervous system. Not only is HRV a good marker for many physiological disorders, but it is well known that HRV can be altered consciously by different approaches even though it is controlled by the autonomic nervous system. Respiration is an important factor in modulating HRV and this property is utilized in HRV biofeedback, which is a method that aims at increasing heart rate variability. HRV biofeedback systems typically measures heart rate variability and disp

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6

Heathers, James. "Methodological improvements in heart rate variability." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/13106.

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Heart rate variability (HRV) refers to the amplitude and period of fluctuations in the heart rate over time. HRV is an accessible, low-cost and straightforward technique for measuring autonomic outflow, but also a complicated epiphenomena of interacting autonomic, circulatory and respiratory factors. Confusion about the meaning of HRV is reflected in the literature establishing basic HRV theory, and in the applied literature which uses HRV as a dependent variable or predictor of psychological outcomes. Here, 2 straightforward issues present themselves: 1) best-case practice for methodological

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7

Litster, Caroline Elizabeth. "Heart rate, heart rate variability, electrodermal activity and the differentiation-of-deception /." Title page, table of contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09SSPS/09sspsl7769.pdf.

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Zapanta, Laurence (Laurence F. ). "Heart rate variability in mice with coronary heart disease." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34118.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (leaves 69-71).<br>Heart rate variability (HRV), the beat-to-beat fluctuation of the heart rate, is a non-invasive test that measures the autonomic regulation of the heart. Assessment of HRV has been shown to predict the risk of mortality in patients after an acute myocardial infarction. Recently, the Krieger lab at MIT developed genetically engineered double knockout (dKO) mice that develop coronary artery disease accompanied by spontaneous m

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9

Dodds, Kirsty Lyn. "Heart to Heart: Exploring Heart Rate Variability in Insomnia Patient Subtypes." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17262.

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Insomnia is one of the most common complaints in medical practice and the sleep disorder of highest prevalence. At least 10% of the worldwide population has chronic insomnia, which has been associated with a range of negative health outcomes. Within the clinical setting, patient subtypes have been defined according to symptomology. More recently insomnia researchers have proposed phenotypes based on total sleep time during overnight polysomnography (PSG). Short-sleeping insomnia patients are purported to be a biologically severe phenotype at higher risk of cardiovascular morbidity, poor mental

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10

Zemánek, Ladislav. "Analýza variability srdečního rytmu pomocí entropie." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220014.

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The analysis of HRV is an advanced and noninvasive method which is used to investigate the involuntary nervous system. It is also one of the important parameters of its proper function. Heart rate variability can also be analyzed by entropy, which studies the discrepancy of the RR intervals of the HRV signal and thus can be used to diagnose cardiac diseases

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11

Alghoul, Karim. "Heart Rate Variability Extraction from Video Signals." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33003.

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Heart Rate Variability (HRV) analysis has been garnering attention from researchers due to its wide range of applications. Medical researchers have always been interested in Heart Rate (HR) and HRV analysis, but nowadays, investigators from variety of other fields are also probing the subject. For instance, variation in HR and HRV is connected to emotional arousal. Therefore, knowledge from the fields of affective computing and psychology, can be employed to devise machines that understand the emotional states of humans. Recent advancements in non-contact HR and HRV measurement techniques wil

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12

Thapa, Rinku. "Heart Rate Variability in Autism Spectrum Disorder." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/22968.

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Autism Spectrum Disorders (ASD) are a group of pervasive neurodevelopmental disorders characterised by qualitative impairments in social functioning. Studies over the last three decades have revealed relationships between autonomic dysregulation, indexed by decreased Heart Rate Variability (HRV), and cardiovascular risk in children and adults diagnosed with ASD. HRV is an objective marker that provides physiological insight into the Autonomic Nervous System (ANS). Decreases in HRV are purported to be a risk factor for cardiovascular morbidity, mortality, and poor mental health. The overarching

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13

Persson, Anna. "Heart rate variability for driver sleepiness assessment." Thesis, Linköpings universitet, Institutionen för medicinsk teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157187.

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Studies have reported that around 20 % of all traffic accidents are caused by a sleepy driver. Sleepy driving has been compared to drunk driving. A sleepy driver is also an issue in the case of automated vehicles in the future. Handing back the control of the vehicle to a sleepy driver is a serious risk. This has increased the need for a sleepiness estimation system that can be used in the car to warn the driver when driving is not recommended. One commonly used method to estimate sleepiness is to study the heart rate variability, HRV, which is said to reflect the activity of the autonomous ne

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14

Williams, Elizabeth A. "Caregiving Burden and Heart Rate Variability: Differences by Race and Gender." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1586291354640556.

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Muskett, Ashley. "Improving Anxiety Assessment in Autism: A Potential Use for Heart Rate Variability and Heart Rate." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/82233.

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Anxiety is an area of documented challenge for people with Autism Spectrum Disorder (ASD). Despite this, some studies state that those with ASD and language deficits have lower reported anxiety than those without language deficits. This effect may be due to the complicated task of appropriately evaluating anxiety in those with compromised language. Using biomarkers of anxiety, such as reduced Heart Rate Variability (HRV) and increased Heart Rate (HR), may improve anxiety assessment but more research is necessary. Specifically, it would be helpful to understand if the relationship between HRV/H

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16

Ho, Ian-ian, and 何欣欣. "Heart rate variability and outcome in acute stroke." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46938242.

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17

Clifford, Gari D. "Signal processing methods for heart rate variability analysis." Thesis, University of Oxford, 2002. http://ora.ox.ac.uk/objects/uuid:5129701f-1d40-425a-99a3-59a05e8c1b23.

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Heart rate variability (HRV), the changes in the beat-to-beat heart rate calculated from the electrocardiogram (ECG), is a key indicator of an individual's cardiovascular condition. Assessment of HRV has been shown to aid clinical diagnosis and intervention strategies. However, the variety of HRV estimation methods and contradictory reports in this field indicate that there is a need for a more rigorous investigation of these methods as aids to clinical evaluation. This thesis investigates the development of appropriate HRV signal processing techniques in the context of pilot studies in two fi

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18

Channell, Rachel Marie. "The Associations of Extraversion and Heart Rate Variability." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/9001.

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Heart rate variability as a measure of cardiovascular health and autonomic activity correlates with psychological resiliency but is not consistently related to trait extraversion, a strong predictor of emotional well-being. This study intends to clarify research findings about trait extraversion and heart rate variability by identifying the context and nature of the relationship between extraversion and physiological responses. As a secondary analysis of data from a study comparing biofeedback and compassionate breathing, extraversion scores were compared with heart rate variability data at th

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19

Boone, Louvonia Rose. "Heart rate variability as a predictor of hypotension." [New Haven, Conn. : s.n.], 2008. http://ymtdl.med.yale.edu/theses/available/etd-11212008-110758/.

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Lucas, Angela K. "Effects of pediatric adiposity on heart rate variability /." Available online. Click here, 2009. http://services.lib.mtu.edu/etd/THESIS/2009/BiologicalSci/lucas/thesis.pdf.

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21

Raymond, Ben. "Visualisation and pattern recognition of heart rate variability /." Title page, contents and abstract only, 1999. http://web4.library.adelaide.edu.au/theses/09PH/09phr268.pdf.

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22

Brouse, Chris J. "Monitoring nociception during general anesthesia with heart rate variability." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/52851.

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We have developed a novel real-time cardiorespiratory coherence (CRC) algorithm to monitor nociception during general anesthesia. We have made two novel and significant contributions to the field. We have developed a novel filter for measuring the respiratory sinus arrhythmia (RSA) in the heart rate variability (HRV) in real-time. The filter uses information from a secondary signal source (a respiration rate derived from a respiration signal) to track the RSA as it moves in time and frequency. It then uses this information to dynamically tune the centre frequency and bandwidth of a band-pa

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23

Acquarone, Isabel Jimenez. "Heart rate variability : a means to assess equine temperament." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540659.

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Mainardi, Amelia. "Heart Rate Variability and Oxytocin: Measures of Parasympathetic Control." Scholarship @ Claremont, 2014. http://scholarship.claremont.edu/scripps_theses/435.

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A large emphasis has been placed on determining the relationship between neurobiological state and social experience within the field of psychophysiology. Many of these studies have focused on the use of high frequency heart rate variability as a measure of parasympathetic control of autonomic function. Past studies have shown that administered oxytocin is a known effector of heart rate variability and neurobiological state and emphasized its potential to increase heart rate variability and the capacity for social engagement. This effect has been proposed in part to be the result of an interac

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25

Shafqat, Kamran. "Heart rate variability analysis in patients undergoing local anaesthesia." Thesis, City University London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518040.

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Puente, Eduardo Tejera. "Heart Rate Variability Analysis During Normal and Hypertensive Pregnancy." Doctoral thesis, Faculdade de Farmácia da Universidade do Porto, 2009. http://hdl.handle.net/10216/53927.

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Boman, Kajsa. "Heart rate variability : A possible measure of subjective wellbeing?" Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15911.

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Wellbeing and subjective wellbeing (SWB) has become some the most important goals of our time, both individually and societally. Thus, there is a need for reliable ways to measure SWB, as concerns regarding many current measures have been raised. Due to the interwoven nature of physiology and psychology, heart rate variability (HRV) has the potential to assess psychological processes in a physiological manner. HRV is an attractive measure since it is inexpensive, easy and non-invasive. Hence, the aim is to, from a cognitive neuroscientific standpoint, investigate whether HRV could serve as an

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Minnis, James Michael. "Nutrition and athletic performance: implications of heart rate variability." Kansas State University, 2015. http://hdl.handle.net/2097/20344.

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Master of Science<br>Department of Human Nutrition<br>Mark Haub<br>The purpose of this review is to examine the role of heart rate variability (HRV) as a predictor of athletic readiness and performance and assess whether nutrition strategies can be implemented to create favorable HRV indices with the goal of improving athletic readiness and performance. The balance between training and recovery is crucial for reaching an optimal adaptation and avoiding overtraining, allowing for improved readiness to train and compete. The measurement of HRV is non-invasive and is used primarily to quantify p

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Shah, Siddharth S. "Robust Heart Rate Variability Analysis using Gaussian Process Regression." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293737259.

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Pace, Diane Todd. "Effect of postmenopausal hormone replacement on heart rate variability." View the abstract Download the full-text PDF version, 1998. http://etd.utmem.edu/ABSTRACTS/1998-003-pace-index.html.

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Thesis (Ph.D)--University of Tennessee Health Science Center, 1998.<br>Title from title page screen (viewed on October 17 2008). Research advisor: Kay F. Engelhardt. Document formatted into pages (xi, 162 p. : ill.). Vita. Abstract. Includes bibliographical references (p.162).

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McMillan, Diana Elizabeth. "Heart rate variability during sleep in fibromyalgia and insomnia /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/7183.

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Puente, Eduardo Tejera. "Heart Rate Variability Analysis During Normal and Hypertensive Pregnancy." Tese, Faculdade de Farmácia da Universidade do Porto, 2009. http://hdl.handle.net/10216/53927.

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Plewa, Luke Joseph. "Sudden Cardiac Arrest Prediction through Heart Rate Variability Analysis." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1449.

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The increase in popularity for wearable technologies (see: Apple Watch and Microsoft Band) has opened the door for an Internet of Things solution to healthcare. One of the most prevalent healthcare problems today is the poor survival rate of out-of hospital sudden cardiac arrests (9.5% on 360,000 cases in the USA in 2013). It has been proven that heart rate derived features can give an early indicator of sudden cardiac arrest, and that providing an early warning has the potential to save many lives. Many of these new wearable devices are capable of providing this warning through their heart ra

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34

Dixon, Paul David. "Stability and variability of physiological control determined from heart rate variability in infants." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368644.

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Melchor, Rodríguez Angel. "Contributions to heart rate variability and respiratory rate analysis through video imaging techniques." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/665983.

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The present doctoral thesis proposes a series of methods that have as a general objective the non-contact evaluation of heart rate variability (HRV) and respiratory rate (BR) through video imaging. The proposal of this technique has emerged in the last few years as an alternative to the traditional measurement systems, which assess these and other physiological parameters through direct contact with the person’s body. Due to this condition, the traditional systems may cause some complications in people who present a sensitive or fragile skin, such as neonates or patients with burn injuries. F

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36

Saunders, Roger D. (Roger Dean). "Depression and Heart Rate Variability in Patients with Coronary Artery Disease." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc278101/.

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Depression is an independent risk factor for morbidity and mortality in patients with coronary artery disease (CAD). Altered autonomic nervous system (ANS) activity, a common feature of depression, is also a risk factor for cardiac events in patients with CAD. Heart rate variability (HRV) reflects ANS activity, and reduced HRV predicts morbidity in cardiac populations. The purpose of this study was to determine whether differences in HRV exist between depressed and nondepressed patients with CAD. Twenty-one depressed inpatients, with angiographically documented CAD were retrospectively matched

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Keeney, Janice E. "Effects of Heart Rate Variability Biofeedback-assisted Stress Management Training on Pregnant Women and Fetal Heart Rate Measures." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9073/.

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This study examined effectiveness of heart rate variability (HRV) biofeedback-assisted stress management training in reducing anxiety and stress in pregnant women and the effect of maternal stress management skills practice on fetal heart rate measures in real time. Participants were seven working pregnant women who volunteered in response to recruitment announcements and invitations from cooperating midwives. Reported state and trait anxiety and pregnancy specific stress were measured during five 45- to 50-minute training sessions. Training included bibliotherapy, instruction in the use of

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Keeney, Janice E. Chandler Cynthia K. "Effects of heart rate variability biofeedback-assisted stress management training on pregnant women and fetal heart rate measures." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-9073.

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Newell, Miranda E. "The connection between emotion, brain lateralization, and heart-rate variability /." Download the thesis in PDF, 2005. http://www.lrc.usuhs.mil/dissertations/pdf/Newell2005.pdf.

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Ballora, Mark. "Data analysis through auditory display : applications in heart rate variability." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=35463.

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This thesis draws from music technology to create novel sonifications of heart rate information that may be of clinical utility to physicians. Current visually-based methods of analysis involve filtering the data, so that by definition some aspects are illuminated at the expense of others, which are decimated. However, earlier research has demonstrated the suitability of the auditory system for following multiple streams of information. With this in mind, sonification may offer a means to display a potentially unlimited number of signal processing operations simultaneously, allowing correlatio

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Strachan, Nicole Cecelia. "Baroreceptor sensitivity and heart rate variability in sport related concussions." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45255.

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Sports related concussions (SRC) have become a popular topic and more awareness and interest has risen towards this growing type of brain injury. The cardiovascular aspects of a concussion in particular baroreceptor sensitivity and heart rate variability need to be further investigated. Baroreceptor sensitivity (BRS) and heart rate variability (HRV) may be altered due to a biomechanical force to the brain stem, lesions or axonal stretching that occurs after a concussion. If the brain stem is damaged this may cause a disruption to the cardiovascular centers as they are located in the medulla ob

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Boardman, Anita. "The feasibility of using heart rate variability to detect distress." Thesis, University of Leicester, 2003. http://hdl.handle.net/2381/30206.

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The objective of this work is to look at the feasibility of using heart rate variability analysis as a method of improving discrimination between those fetuses suffering distress and those not.;Heart rate variability analysis was applied to data acquired from rats who had undergone asphyxia for set durations of up to 7 minutes. From analysis in both the time and frequency domain, it was possible to clearly identify the occurrence of the injury. Further correlations were made between these results, pH levels and neurological assessments for the different durations of asphyxia. It was found that

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Frändén, Philip. "Neural Correlates of Heart Rate Variability : Threat and Safety Perception." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15994.

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The connection between the heart and the brain was coined 150 years ago by Claude Bernard and has since then been an interesting topic of research. Scientists have for many years searched for biomarkers of stress and health to map the current status of the organism. Heart rate variability (HRV) has been presented as an emerging objective and promising marker to achieve just this. HRV refers to the beat-to-beat variations in heart rate (HR) and is thought to be a useful signal in understanding and providing valuable information of the autonomic nervous system (ANS). HRV has also been proposed a

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Fox, Sheilagh. "Client Experiences of a Brief Heart Rate Variability Biofeedback Protocol." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8621.

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This study investigated the experiences of clients who completed a brief heart rate variability biofeedback protocol. The purposes of this study were to (1) learn about client experiences of biofeedback because almost no previous research has done so and (2) explore the potential role of common factors in biofeedback. Fifteen clients were interviewed and their data analyzed according to the methods of Consensual Qualitative Research (CQR; Hill, 2012). CQR relies on the use of group consensus to construct representations of participant experiences and categorize themes within the data. The re

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Ritchie, Rolf Armand Mattei. "Don't Worry, Be Mindful: Mindfulness, Perseveration, and Heart Rate Variability." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1467665357.

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Eonta, Alison. "Heart Rate Variability as a Moderator of Trauma Writing Outcomes." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3236.

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Writing about personal traumatic experiences is associated with beneficial effects on physical and psychological symptoms compared with writing about emotionally neutral events. However, not everyone benefits from trauma writing to the same extent. The present study hypothesized that the effectiveness of trauma writing may be moderated by emotion regulation, as indexed by respiratory sinus arrhythmia (RSA). Research also shows that greater physiological reactivity is predictive of better trauma writing outcomes. Given the importance of physiological output in emotional processing, response

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47

"Heart rate variability in heart failure." 2002. http://library.cuhk.edu.hk/record=b5891359.

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by Yeung Yuk-Ching.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2002.<br>Includes bibliographical references (leaves 119-129).<br>Abstracts in English and Chinese.<br>Abstract in English --- p.ii<br>Abstract in Chinese --- p.v<br>Glossary --- p.viii<br>Acknowledgements --- p.x<br>Publications Arising From this Thesis --- p.xii<br>List of Tables --- p.xviii<br>List of Figures --- p.xix<br>Chapter 1 --- INTRODUCTION --- p.1<br>Chapter 1.1 --- Definition of Heart Rate Variability --- p.1<br>Chapter 1.2 --- Physiology --- p.1<br>Chapter 1.2.1 --- Review of Autonomic Nervous Sys

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Huang, Yu-Chen, and 黃于珍. "Clustering Heart Beats Using Heart Rate Variability." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/85524778639002113871.

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碩士<br>元智大學<br>資訊管理學系<br>96<br>This study proposes a method to cluster RR Interval time series. First,the distance of any two RR Interval time series is defined based on eight statistic features of Heart Rate Variability (including Mean, SDNN, SDNN Index, SDANN, RMSSD, CV, pNN50 and pNN20). Then, RR Interval time series are clustered based on this distance. Experimental results with various datasets indicate that this method can effectively distinguish different types of RR Interval time series.

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Cimponeriu, Laura Elena. "Dynamics of heart rate variability." Thesis, 1999. http://nemertes.lis.upatras.gr/jspui/handle/10889/3191.

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Barquero, Pérez Óscar. "Heart rate variability : a fractal analysis." Master's thesis, 2008. http://hdl.handle.net/10216/11023.

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