Title :
A new measure for quantifying the spectral changes of parasympathetic activity in heart rate variability
Author :
Tazebay, Mehmet V. ; Reisman, Stanley
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
Heart rate variability (HRV) provides a noninvasive estimate of sympathetic and parasympathetic influences on heart rate. Spectral analysis and time-frequency (TF) representation techniques have been extensively used in analysis of HRV. However, these methods overlook the transient nature of the HRV signal in clinical exercise conditions. Previously, an adaptive algorithm was presented for spectral extraction of parasympathetic (PS) activity out of the HRV signal by tracking a respiration reference. In this paper, we demonstrate that the use of the frequency center measure can quantify the transient nature of parasympathetic activity in the frequency domain
Keywords :
adaptive signal processing; cardiology; electrocardiography; feature extraction; medical signal processing; neurophysiology; pneumodynamics; spectral analysis; time-frequency analysis; HRV signal; adaptive algorithm; autonomic nervous system; clinical exercise conditions; frequency center measure; frequency domain; heart rate variability; noninvasive estimate; parasympathetic activity; parasympathetic influences; respiration reference; spectral changes; spectral extraction; sympathetic influences; time-frequency representation techniques; transient nature; Adaptive algorithm; Autonomic nervous system; Control systems; Frequency domain analysis; Hafnium; Heart beat; Heart rate; Heart rate variability; Spectral analysis; Time frequency analysis;
Conference_Titel :
Bioengineering Conference, 1996., Proceedings of the 1996 IEEE Twenty-Second Annual Northeast
Conference_Location :
New Brunswick, NJ
Print_ISBN :
0-7803-3204-0
DOI :
10.1109/NEBC.1996.503192
