Title :
Time-frequency analysis of heart rate variability signals in patients with autonomic dysfunction
Author :
Kamath, M.V. ; Bentley, T. ; Spaziani, R. ; Tougas, G. ; Fallen, E.L. ; McCartney, N. ; Runions, J. ; Upton, A.R.M.
Author_Institution :
Dept. of Med., Nursing, Kinesiology & Electr., & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Abstract :
An imbalance in the autonomic nervous system has been suspected in patients with coronary artery disease during episodes of silent ischemia. Frequency analysis of the beat-to-beat heart rate variability (HRV) signals reveals a signature of autonomic regulation of the heart. We performed time-frequency analysis of HRV records containing silent ischemic episodes. In 14 out of 17 (82%) HRV data sets there was a loss of power during such intervals, as determined by S-T segment changes. Our studies suggest that if the frequency content of the signal is well preserved, there is less likelihood of ischemic events of any appreciable duration
Keywords :
biocontrol; electrocardiography; medical signal processing; neurophysiology; patient monitoring; time-frequency analysis; ECG monitoring; S-T segment changes; autonomic dysfunction; autonomic nervous system; autonomic regulation; beat-to-beat heart rate variability; coronary artery disease; frequency content; heart rate variability signal; power loss; silent ischemia episodes; time-frequency analysis; Autonomic nervous system; Cardiac disease; Cardiovascular diseases; Coronary arteriosclerosis; Electrocardiography; Heart rate; Heart rate variability; Ischemic pain; Signal analysis; Time frequency analysis;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-3512-0
DOI :
10.1109/TFSA.1996.550070
