TY - JOUR
T1 - Heart rate variability in intensive care
AU - Goldstein, Brahm
AU - Buchman, Timothy G.
PY - 1998
Y1 - 1998
N2 - Clinicians have long been aware that the normal oscillations in a heart beat are lost during fetal distress, during the early stages of heart failure, with advanced aging, and with critical illness and injury. However, these oscillations, or variability in heart rate and other cardiovascular signals, have largely been ignored or discounted as variances from the mean or average values. It is becoming increasingly clear that these oscillations reflect the dynamic interactions of many physiologic processes, including neuroautonomic regulation of heart rate and blood pressure. We present a synthesis and review of the current literature concerning heart rate variability with special reference to intensive care. This article describes the background of time series analysis of heart rate variability including time and frequency domain and nonlinear measurements. The implications and potential for time series analysis of variability in cardiovascular signals in clinical diagnosis and management of critically ill and injured patients are discussed.
AB - Clinicians have long been aware that the normal oscillations in a heart beat are lost during fetal distress, during the early stages of heart failure, with advanced aging, and with critical illness and injury. However, these oscillations, or variability in heart rate and other cardiovascular signals, have largely been ignored or discounted as variances from the mean or average values. It is becoming increasingly clear that these oscillations reflect the dynamic interactions of many physiologic processes, including neuroautonomic regulation of heart rate and blood pressure. We present a synthesis and review of the current literature concerning heart rate variability with special reference to intensive care. This article describes the background of time series analysis of heart rate variability including time and frequency domain and nonlinear measurements. The implications and potential for time series analysis of variability in cardiovascular signals in clinical diagnosis and management of critically ill and injured patients are discussed.
UR - http://www.scopus.com/inward/record.url?scp=0031753357&partnerID=8YFLogxK
U2 - 10.1177/088506669801300505
DO - 10.1177/088506669801300505
M3 - Review article
AN - SCOPUS:0031753357
SN - 0885-0666
VL - 13
SP - 252
EP - 265
JO - Journal of Intensive Care Medicine
JF - Journal of Intensive Care Medicine
IS - 5
ER -