LOW FREQUENCY OSCILLATION OF HEART RATE AND ARTERIAL PRESSURE VARIABILITIES AS A MARKER OF SYMPATHETIC MODULATION OF CARDIOVASCULAR FUNCTION -- POWER SPECTRAL ANALYSIS OF HEART RATE AND ARTERIAL PRESSURE IN HYPERTENSIVE PATIENTS WITH AND WITHOUT LEFT VENTRICULAR HYPERTROPHY -- RHYTHMIC HEART RATE CHANGES IN CARDIAC TRANSPLANTATION -- LOW FREQUENCY OSCILLATIONS IN THE CARDIOVASCULAR SYSTEM DUE TO RESPIRATION: BLOOD PRESSURE VARIABILITY IN SLEEP APNOEA SYNDRINE -- SPECTRAL ANALYSIS OF RR INTERVAL AND SYSTOLIC ARTERIAL PRESSURE VARIABILITIES AFTER MYOCARDIAL INFARCTION -- HEART RATE VARIABILITY DURING CONGESTIVE HEART FAILURE: OBSERVATIONS AND IMPLICATIONS -- Author Index
An increasing number of studies indicate that the analysis of blood pressure and heart rate variability may be a valuable tool for the investigation of the mechanisms responsible for cardiovascular regulation in physiological and pathological conditions. The reader can find in the first part of this book an updated review of the techniques currently employed for the computer analysis of these signals with a particular attention to the most innovative approaches based on the non-linear analysis (including applications of the chaos theory, fractal analysis, I/f modelling) and the time-variant estimation of BP and HR characteristics. The biological interpretation of the results obtained by these computerized procedures and the applicability of these techniques in a clinical setting are fully addressed in the second part of the book.
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.
This book not only discusses clinical applications, but also links HRV to systems biology and theories of complexity. This publication should be interesting for several groups of clinicians and scientists, including cardiologists, anesthesiologists, intensivists and physiologists. Heart Rate Variability is in principle easy and cheap, making it interesting for all kind of hospitals and private practice. The book will be an example of using translational medicine (bench to bedside) where newest theoretical results are linked to newest clinical research.
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CHAPTER 17: Respiratory Pattern, Invested Effort, and Variability in Heart Rate and Blood Pressure During the Performance of Mental Tasks -- CHAPTER 18: Power Spectra of Blood Pressure in Normotensive and Spontaneously Hypertensive Rats: Relationship with Sympathetic Cardiovascular Control -- CHAPTER 19: Sympathectomy, Sinoaortic Denervation and Spectral Powers of Blood Pressure and Heart Rate in Lyon Rats -- CHAPTER 20: Heart Rate Variability in Chronic Heart Failure -- CHAPTER 21: Spectral Analysis of Blood Pressure and Heart Rate in Patients with Myocardial Infarction -- CHAPTER 22: Heart Rate Variability and Sudden Death: What's the Connection? -- CHAPTER 23: Power Spectrum Analysis of Heart Rate in Diabetic. Patients: A Marker of Autonomic Dysfunction -- References -- Author Index
Heart rate variability (HRV) describes variations of heart rate and is attributed to cyclic fluctuations in autonomic tone. The different methods of heart rate variability analysis allow for a non-invasive assessment of autonomic activity. This study analyzes the heart rate variability through both frequency domain methods and joint time-frequency domain methods which were executed through the LabVJEW graphical programming language. These algorithms were utilized to assess autonomic nervous system activity in Gulf War veterans with no health complaints versus Gulf War veterans with chronic fatigue syndrome. The heart rate variability analysis was obtained from acquired measurements of heart rate and blood pressure during periods of steady-state supine and standing positions. The subject populations as well as the physiological signals utilized in this study were obtained from the East Orange DVA Medical Center. The results of this study indicate that there is no significant difference (p