Heart Rate Variability: Clinical Applications and Interaction between HRV and Heart Rate

Over the last decades, assessment of heart rate variability (HRV) has increased in various fields of research. HRV describes changes in heartbeat intervals, which are caused by autonomic neural regulation, i.e. by the interplay of the sympathetic and the parasympathetic nervous systems. The most fre...

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Huvudupphov: Heikki Veli Huikuri, Karin Trimmel, Jerzy Sacha
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author Heikki Veli Huikuri
Karin Trimmel
Jerzy Sacha
author_browse Heikki Veli Huikuri
Jerzy Sacha
Karin Trimmel
author_facet Heikki Veli Huikuri
Karin Trimmel
Jerzy Sacha
author_sort Heikki Veli Huikuri
collection Directory of Open Access Books
description Over the last decades, assessment of heart rate variability (HRV) has increased in various fields of research. HRV describes changes in heartbeat intervals, which are caused by autonomic neural regulation, i.e. by the interplay of the sympathetic and the parasympathetic nervous systems. The most frequent application of HRV is connected to cardiological issues, most importantly to the monitoring of post-myocardial infarction patients and the prediction of sudden cardiac death. Analysis of HRV is also frequently applied in relation to diabetes, renal failure, neurological and psychiatric conditions, sleep disorders, psychological phenomena such as stress, as well as drug and addiction research including alcohol and smoking. The widespread application of HRV measurements is based on the fact that they are noninvasive, easy to perform, and in general reproducible – if carried out under standardized conditions. However, the amount of parameters to be analysed is still rising. Well-established time domain and frequency domain parameters are discussed controversially when it comes to their physiological interpretation and their psychometric properties like reliability and validity, and the sensitivity to cardiovascular properties of the variety of parameters seems to be a topic for further research. Recently introduced parameters like pNNxx and new dynamic methods such as approximate entropy and detrended fluctuation analysis offer new potentials and warrant standardization. However, HRV is significantly associated with average heart rate (HR) and one can conclude that HRV actually provides information on two quantities, i.e. on HR and its variability. It is hard to determine which of these two plays a principal role in the clinical value of HRV. The association between HRV and HR is not only a physiological phenomenon but also a mathematical one which is due to non-linear (mathematical) relationship between RR interval and HR. If one normalizes HRV to its average RR interval, one may get ‘pure’ variability free from the mathematical bias. Recently, a new modification method of the association between HRV and HR has been developed which enables us to completely remove the HRV dependence on HR (even the physiological one), or conversely enhance this dependence. Such an approach allows us to explore the HR contribution to the clinical significance of HRV, i.e. whether HR or its variability plays a main role in the HRV clinical value. This Research Topic covers recent advances in the application of HRV, methodological issues, basic underlying mechanisms as well as all aspects of the interaction between HRV and HR.
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spelling doab-20.500.12854ir-491632024-03-31T22:45:07Z Heart Rate Variability: Clinical Applications and Interaction between HRV and Heart Rate Heikki Veli Huikuri Karin Trimmel Jerzy Sacha QP1-981 Q1-390 Heart Rate Autonomic Function sympathetic and vagal control baroreflex mechanisms heart rate turbulence spectral analysis Sudden cardiac death Heart rate variability non-linear methods thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology Over the last decades, assessment of heart rate variability (HRV) has increased in various fields of research. HRV describes changes in heartbeat intervals, which are caused by autonomic neural regulation, i.e. by the interplay of the sympathetic and the parasympathetic nervous systems. The most frequent application of HRV is connected to cardiological issues, most importantly to the monitoring of post-myocardial infarction patients and the prediction of sudden cardiac death. Analysis of HRV is also frequently applied in relation to diabetes, renal failure, neurological and psychiatric conditions, sleep disorders, psychological phenomena such as stress, as well as drug and addiction research including alcohol and smoking. The widespread application of HRV measurements is based on the fact that they are noninvasive, easy to perform, and in general reproducible – if carried out under standardized conditions. However, the amount of parameters to be analysed is still rising. Well-established time domain and frequency domain parameters are discussed controversially when it comes to their physiological interpretation and their psychometric properties like reliability and validity, and the sensitivity to cardiovascular properties of the variety of parameters seems to be a topic for further research. Recently introduced parameters like pNNxx and new dynamic methods such as approximate entropy and detrended fluctuation analysis offer new potentials and warrant standardization. However, HRV is significantly associated with average heart rate (HR) and one can conclude that HRV actually provides information on two quantities, i.e. on HR and its variability. It is hard to determine which of these two plays a principal role in the clinical value of HRV. The association between HRV and HR is not only a physiological phenomenon but also a mathematical one which is due to non-linear (mathematical) relationship between RR interval and HR. If one normalizes HRV to its average RR interval, one may get ‘pure’ variability free from the mathematical bias. Recently, a new modification method of the association between HRV and HR has been developed which enables us to completely remove the HRV dependence on HR (even the physiological one), or conversely enhance this dependence. Such an approach allows us to explore the HR contribution to the clinical significance of HRV, i.e. whether HR or its variability plays a main role in the HRV clinical value. This Research Topic covers recent advances in the application of HRV, methodological issues, basic underlying mechanisms as well as all aspects of the interaction between HRV and HR. 2021-02-11T15:09:55Z 2021-02-11T15:09:55Z 2016-08-16 10:34:25 2015 book 19555 16648714 9782889196524 https://directory.doabooks.org/handle/20.500.12854/49163 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Heart_Rate_Variability_Clinical_Applications_and_Interaction_between_HRV_and_Heart_Rate/698#nogo http://journal.frontiersin.org/researchtopic/436/heart-rate-variability-clinical-applications-and-interaction-between-hrv-and-heart-rate Frontiers Media SA 10.3389/978-2-88919-652-4 10.3389/978-2-88919-652-4 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889196524 166 open access
spellingShingle QP1-981
Q1-390
Heart Rate
Autonomic Function
sympathetic and vagal control
baroreflex mechanisms
heart rate turbulence
spectral analysis
Sudden cardiac death
Heart rate variability
non-linear methods
thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology
Heikki Veli Huikuri
Karin Trimmel
Jerzy Sacha
Heart Rate Variability: Clinical Applications and Interaction between HRV and Heart Rate
title Heart Rate Variability: Clinical Applications and Interaction between HRV and Heart Rate
title_full Heart Rate Variability: Clinical Applications and Interaction between HRV and Heart Rate
title_fullStr Heart Rate Variability: Clinical Applications and Interaction between HRV and Heart Rate
title_full_unstemmed Heart Rate Variability: Clinical Applications and Interaction between HRV and Heart Rate
title_short Heart Rate Variability: Clinical Applications and Interaction between HRV and Heart Rate
title_sort heart rate variability clinical applications and interaction between hrv and heart rate
topic QP1-981
Q1-390
Heart Rate
Autonomic Function
sympathetic and vagal control
baroreflex mechanisms
heart rate turbulence
spectral analysis
Sudden cardiac death
Heart rate variability
non-linear methods
thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology
topic_facet QP1-981
Q1-390
Heart Rate
Autonomic Function
sympathetic and vagal control
baroreflex mechanisms
heart rate turbulence
spectral analysis
Sudden cardiac death
Heart rate variability
non-linear methods
thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology
url 19555
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