scholarly journals Clinical Applications of Heart Rate Variability in the Triage and Assessment of Traumatically Injured Patients

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Mark L. Ryan ◽  
Chad M. Thorson ◽  
Christian A. Otero ◽  
Thai Vu ◽  
Kenneth G. Proctor

Heart rate variability (HRV) is a method of physiologic assessment which uses fluctuations in the RR intervals to evaluate modulation of the heart rate by the autonomic nervous system (ANS). Decreased variability has been studied as a marker of increased pathology and a predictor of morbidity and mortality in multiple medical disciplines. HRV is potentially useful in trauma as a tool for prehospital triage, initial patient assessment, and continuous monitoring of critically injured patients. However, several technical limitations and a lack of standardized values have inhibited its clinical implementation in trauma. The purpose of this paper is to describe the three analytical methods (time domain, frequency domain, and entropy) and specific clinical populations that have been evaluated in trauma patients and to identify key issues regarding HRV that must be explored if it is to be widely adopted for the assessment of trauma patients.

1998 ◽  
Vol 13 (5) ◽  
pp. 252-265 ◽  
Author(s):  
Brahm Goldstein ◽  
Timothy G. Buchman

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.


Author(s):  
Luz Fernández-Aguilar ◽  
Arturo Martínez-Rodrigo ◽  
José Moncho-Bogani ◽  
Antonio Fernández-Caballero ◽  
José Miguel Latorre

2019 ◽  
Vol 22 (3) ◽  
pp. 134-137
Author(s):  
Ali Foroutan ◽  
Shahram Paydar ◽  
Seyyed Taghi Heydari ◽  
Leila Mohammadi ◽  
Farnaz Rahbar

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