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Ecg Time Series Variability Analysis

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Ecg Time Series Variability Analysis

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Author : Herbert F. Jelinek
language : en
Publisher: CRC Press
Release Date : 2017-09-11

Ecg Time Series Variability Analysis written by Herbert F. Jelinek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-11 with Mathematics categories.

Divided roughly into two sections, this book provides a brief history of the development of ECG along with heart rate variability (HRV) algorithms and the engineering innovations over the last decade in this area. It reviews clinical research, presents an overview of the clinical field, and the importance of heart rate variability in diagnosis. The book then discusses the use of particular ECG and HRV algorithms in the context of clinical applications.

Heart Rate Variability Analysis With The R Package Rhrv

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Author : Constantino Antonio García Martínez
language : en
Publisher: Springer Nature
Release Date : 2024-09-26

Heart Rate Variability Analysis With The R Package Rhrv written by Constantino Antonio García Martínez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-26 with Medical categories.

This book introduces readers to the fundamental concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refers to the variation over time of the intervals between consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of autonomic nervous system activity and it has been recognized as a useful predictor of several pathologies. The book discusses all the basic HRV topics, including the physiological contributions to HRV, clinical applications, HRV data acquisition, HRV data manipulation and HRV analysis using time-domain, frequency-domain, time-frequency, nonlinear and fractal techniques. Detailed examples based on real data sets are provided throughout the book to illustrate the algorithms and discuss the physiological implications of the results. Offering a comprehensive guide to analyzing beat information with RHRV, the book is intended for masters and Ph.D. students in various disciplines such as biomedical engineering, human and veterinary medicine, biology, and pharmacy, as well as researchers conducting heart rate variability analyses on both human and animal data. The second edition of the book has been updated to RHRV version 5.0. This version introduces a functionality to perform heart rate variability analysis on entire populations. This functionality automates and streamlines both the calculation of HRV indices in the time, frequency, and nonlinear domains, as well as the subsequent statistical analysis.

Ecg Time Series Variability Analysis

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Author : Herbert F Jelinek
language : en
Publisher: CRC Press
Release Date : 2019-12-10

Ecg Time Series Variability Analysis written by Herbert F Jelinek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-10 with categories.

Ecg Time Series Variability Analysis

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Author : Herbert F. Jelinek
language : en
Publisher:
Release Date : 2017

Ecg Time Series Variability Analysis written by Herbert F. Jelinek and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with HEALTH & FITNESS categories.

"Divided roughly into two sections, this book provides a brief history of the development of ECG along with heart rate variability (HRV) algorithms and the engineering innovations over the last decade in this area. It reviews clinical research, presents an overview of the clinical field, and the importance of heart rate variability in diagnosis. The book then discusses the use of particular ECG and HRV algorithms in the context of clinical applications."--Provided by publisher.

Heart Rate Variability Clinical Applications And Interaction Between Hrv And Heart Rate

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Author : Karin Trimmel
language : en
Publisher: Frontiers Media SA
Release Date : 2015-10-07

Heart Rate Variability Clinical Applications And Interaction Between Hrv And Heart Rate written by Karin Trimmel and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-07 with Physiology categories.

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.

Signal And Image Analysis For Biomedical And Life Sciences

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Author : Changming Sun
language : en
Publisher: Springer
Release Date : 2014-11-07

Signal And Image Analysis For Biomedical And Life Sciences written by Changming Sun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-07 with Computers categories.

With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to each of the applications. It can be used by those both at graduate and specialist levels.

Perspectives On Behavioral Inhibition

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Author : J. Steven Reznick
language : en
Publisher: University of Chicago Press
Release Date : 1989-11-09

Perspectives On Behavioral Inhibition written by J. Steven Reznick and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-11-09 with Psychology categories.

Behavioral inhibition, often displayed as shyness in children and avoidance in animals, can be observed in the earliest stages of infancy. Recent research indicates that in extreme cases the tendency to either approach or withdraw from uncertain events continues through late childhood and is supported by specific biological mechanisms, suggesting a genetic basis. To effectively study behavioral inhibition, researchers are departing from the essentially experiential and descriptive techniques of traditional psychology and turning to a multidisciplinary approach that integrates psychology, psychiatry, epidemiology, genetics, and ethology. Perspectives in Behavioral Inhibition brings together the most current research of leading scholars in the various disciplines involved.

Developments And Applications For Ecg Signal Processing

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Author : Joao Paulo do Vale Madeiro
language : en
Publisher: Academic Press
Release Date : 2018-11-29

Developments And Applications For Ecg Signal Processing written by Joao Paulo do Vale Madeiro and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-29 with Technology & Engineering categories.

Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats. - Gives comprehensive coverage of ECG signal processing - Presents development and parametrization techniques for ECG signal acquisition systems - Analyzes and compares distortions caused by different digital filtering techniques for noise suppression applied over the ECG signal - Describes how to identify if a digitized ECG signal presents irreversible distortion through analysis of its frequency components prior to, and after, filtering - Considers how to enhance QRS complexes and differentiate these from artefacts, noise, and other characteristic waves under different scenarios

Xiii Mediterranean Conference On Medical And Biological Engineering And Computing 2013

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Author : Laura M. Roa Romero
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-01

Xiii Mediterranean Conference On Medical And Biological Engineering And Computing 2013 written by Laura M. Roa Romero and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-01 with Technology & Engineering categories.

The general theme of MEDICON 2013 is "Research and Development of Technology for Sustainable Healthcare". This decade is being characterized by the appearance and use of emergent technologies under development. This situation has produced a tremendous impact on Medicine and Biology from which it is expected an unparalleled evolution in these disciplines towards novel concept and practices. The consequence will be a significant improvement in health care and well-fare, i.e. the shift from a reactive medicine to a preventive medicine. This shift implies that the citizen will play an important role in the healthcare delivery process, what requires a comprehensive and personalized assistance. In this context, society will meet emerging media, incorporated to all objects, capable of providing a seamless, adaptive, anticipatory, unobtrusive and pervasive assistance. The challenge will be to remove current barriers related to the lack of knowledge required to produce new opportunities for all the society, while new paradigms are created for this inclusive society to be socially and economically sustainable, and respectful with the environment. In this way, these proceedings focus on the convergence of biomedical engineering topics ranging from formalized theory through experimental science and technological development to practical clinical applications.

Multiscale Entropy Approaches And Their Applications

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Author : Anne Humeau-Heurtier
language : en
Publisher: MDPI
Release Date : 2020-11-06

Multiscale Entropy Approaches And Their Applications written by Anne Humeau-Heurtier and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-06 with Technology & Engineering categories.

Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system’s dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks. In this Special Issue, we gathered 24 papers focusing on either the theory or applications of MSE approaches. These papers can be divided into two groups: papers that propose new developments in entropy-based measures or improve the understanding of existing ones (9 papers) and papers that propose new applications of existing entropy-based measures (14 papers). Moreover, one paper presents a review of cross-entropy methods and their multiscale approaches.

Ecg Time Series Variability Analysis

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