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Heart Rate Variability (HRV) Signal Analysis

Clinical Applications

Edited by Markad V. Kamath, Mari Watanabe, Adrian Upton

CRC Press – 2012 – 532 pages

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    October 16th 2012


Open a Window into the Autonomic Nervous System

Quantifying the amount of autonomic nervous system activity in an individual patient can be extremely important, because it provides a gauge of disease severity in a large number of diseases. Heart rate variability (HRV) calculated from both short-term and longer-term electrocardiograms is an ideal window into such autonomic activity for two reasons: one, heart rate is sensitive to autonomic activity in the entire body, and two, recording electrocardiograms is inexpensive and non-invasive unlike other techniques currently available for autonomic assessment, such as microneurography and metaiodobenzylguanidine (MIBG) scanning. Heart Rate Variability (HRV) Signal Analysis: Clinical Applications provides a comprehensive review of three major aspects of HRV: mechanism, technique, and clinical applications.

Learn Techniques for HRV Signal Analysis

Edited by an engineer, a cardiologist, and a neurologist, and featuring contributions by widely published international researchers, this interdisciplinary book begins by reviewing the many signal processing techniques developed to extract autonomic activity information embedded in heart-rate records. The classical time and frequency domain measures, baroreceptor sensitivity, and newer non-linear measures of HRV are described with a fair amount of mathematical detail with the biomedical engineer and mathematically oriented physician in mind. The book also covers two recent HRV methods, heart-rate turbulence and phase-rectified signal averaging.

Use of HRV in Clinical Care

The large clinical section is a must-read for clinicians and engineers wishing to get an insight into how HRV is applied in medicine. Nineteen chapters altogether are devoted to uses of HRV in:

  • Monitoring—for example to predict potential complications in pregnancies, fetal distress, and in neonatal critical care
  • Acute care—for gauging the depth of anesthesia during surgery and predicting change in patient status in the intensive care unit
  • Chronic disorders—for assessing the severity of congestive heart failure, stroke, Parkinson’s disease, and depression

Bringing together the latest research, this comprehensive reference demonstrates the utility and potential of HRV signal analysis in both the clinic and physiology laboratory.


Heart Rate Variability: A Historical Perspective

Markad V. Kamath, Mari A. Watanabe, and Adrian R.M. Upton

Section I Heart Rate Variability Techniques

Methodological Aspects of Heart Rate Variability Analysis

Tom Kuusela

Methodological Aspects of Baroreflex Sensitivity Analysis

Tom Kuusela

Arterial Blood Pressure Waveform Analysis and Its Applications in the Assessment of Vasovagal Syncope

Juan Carlos Perfetto, Ricardo O. Sirne, Aurora Ruiz, and Carlos E. D’Attellis

Heart Rate Turbulence

Mari A. Watanabe and Georg Schmidt

Phase-Rectified Signal Averaging: Methods and Clinical Applications

Raphael Schneider, Alexander Müller, and Georg Schmidt

Section II Clinical Applications of Heart Rate Variability—Monitoring

Heart Rate Variability Analysis for the Monitoring of Fetal Distress and Neonatal Critical Care

Manuela Ferrario, Federico Aletti, Giuseppe Baselli, Maria Gabriella Signorini, and Sergio Cerutti

Heart Rate Variability and Blood Pressure Variability in Obstetrics and Gynecology

Dietmar Schlembach and Manfred G. Moertl

Effects of Exercise Training on Heart Rate Variability in Patients with Hypertension

Philip J. Millar, Cheri L. McGowan, and Neil McCartney

Heart Rate Variability and Sleep

Eleonora Tobaldini, Krzystof Narkiewicz, Virend K. Somers, and Nicola Montano

Section III Clinical Applications of Heart Rate Variability—Acute Care

Heart Rate Variability in the Intensive Care Unit

Mohammad Badrul Alam, Graham Jones, Andrew J.E. Seely, W.F.S. Poehlman, and Markad V. Kamath

Heart Rate Variability and Cardiovascular Dynamic Changes during Local Anesthesia

Panayiotis A. Kyriacou and Kamran Shafqat

Effect of General Anesthesia on Heart Rate Variability

Mathieu Jeanne, Régis Logier, and Benoît Tavernier

Heart Rate Variability in Functional Neurosurgery

Jonathan A. Hyam, Erlick A.C. Pereira, and Alexander L. Green

Bariatric Surgery and Its Effects on Heart Rate Variability

Anton F. Lodder, Markad V. Kamath, David Armstrong, and Adrian R.M. Upton

Section IV Clinical Applications of Heart Rate Variability—Chronic Disorders

Heart Rate Variability in Congestive Heart Failure

Phyllis K. Stein and Yachuan Pu

Heart Rate Variability Analysis in Ischemic Cardiomyopathy and Aortic Stenosis Patients

José F. Valencia, Montserrat Vallverdú, Alberto Porta, Andreas Voss, Rafael Vázquez, and Pere Caminal

Heart Rate Variability and Blood Pressure Variability in Respiratory Disease: Effects of Pharmaceutical Compounds, Non-Invasive Ventilation and Physical Exercise

Audrey Borghi Silva and Aparecida Maria Catai

Effects of Spinal Cord Injury on Heart Rate Variability and Blood Pressure Variability

David S. Ditor, David Allison, and Markad V. Kamath

Autonomic Dysfunction in Stroke

Melanie I. Stuckey, Mikko Tulppo, and Robert J. Petrella

The Significance of Heart Rate Variability in Patients with Epilepsy

Manjari Tripathi and Navita Choudhary

Classification of Parkinson’s Disease Severity Using Heart Rate Variability Analysis

Che-Wei Lin, Jeen-Shing Wang, Pau-Choo Chung, Chung-Yao Hsu, Li-Ming Liou, Yen-Kuang Yang, and Ya-Ting Yang

Heart Rate Variability in Neuropsychiatric Disorders

Brook L. Henry

Heart Rate Variability and Depression

Gautam R. Ullal

Heart Rate Variability as a Measure of Depression and Anxiety during Pregnancy

Alison K. Shea, Meir Steiner, and Markad V. Kamath


Author Bio

Markad V. Kamath, Ph.D. is a professor in the department of Medicine, with associate memberships in the Computing and Software Engineering and Electrical and Computer Engineering departments at McMaster University, Hamilton, Ontario, Canada. He received a B.Eng. from Karnataka Regional Engineering College (now the National Institute of Technology), India, a Ph.D. in biomedical engineering from the Indian Institute of Technology (Madras), and a Ph.D. in medical sciences from McMaster University. He is the editor of the journals Critical Reviews in Biomedical Engineering and Critical Reviews in Physical and Rehabilitation Medicine and the founding editor of Visualization, Image Processing and Computation in Biomedicine. He is a registered professional engineer in the province of Ontario, Canada.

Mari A. Watanabe, M.D., Ph.D., is currently an assistant professor in the cardiology department at St. Louis University. She received her M.D. from Nippon Medical School in Tokyo and Ph.D. in physiology and applied mathematics from Cornell University. She has conducted research in cardiology, mathematics and physics at various institutions, including the University of Pennsylvania, Beth Israel Deaconess Medical Center in Boston, University of Utah, and Glasgow University in Scotland. She has received research grants from the American Heart Association, National Institute of Health and British Heart Foundation. She publishes papers in both clinical and basic science journals.

Adrian R.M. Upton, M.D., FRCP(C), FRCP(E), FRCP(G), is a professor of medicine at McMaster University. Dr. Upton qualified as a physician in the United Kingdom and has held a number of senior positions, including the director of the neurology department and director of the Diagnostic Neurophysiology Laboratory at Chedoke-McMaster hospitals, Canada. He has published over 400 papers in areas such as autonomic stimulation, evoked potentials, electroencephalography and electromyography, among others. He has also trained many student physicians, residents, graduate students, and post-doctoral fellows. He holds 12 patents.

Name: Heart Rate Variability (HRV) Signal Analysis: Clinical Applications (Hardback)CRC Press 
Description: Edited by Markad V. Kamath, Mari Watanabe, Adrian Upton. Open a Window into the Autonomic Nervous System Quantifying the amount of autonomic nervous system activity in an individual patient can be extremely important, because it provides a gauge of disease severity in a large number of diseases. Heart rate...
Categories: Cardiology, Biomedical Engineering, Digital Signal Processing