DocumentCode :
3396945
Title :
Adaptive time-frequency analysis of autonomic nervous system
Author :
Tazebay, Mehmet V. ; Saliba, Rindala ; Reisman, Stanley
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Volume :
2
fYear :
1995
fDate :
20-23 Sep 1995
Firstpage :
1073
Abstract :
Spectral analysis of heart rate variability (HRV) provides a noninvasive estimate of sympathetic and parasympathetic influences on heart rate. The Time-Frequency analysis was utilized to expand the concept of spectral analysis of HRV to describe changes in vagal tone as a function of time. A new adaptive methodology is now proposed to uncover the region of true parasympathetic activity. It is known that parasympathetic activity is highly correlated with the respiration frequency. This technique traces the respiration frequency and extracts the corresponding parasympathetic activity from the HRV signal by adaptive filtering
Keywords :
adaptive signal processing; electrocardiography; medical signal processing; neurophysiology; spectral analysis; time-frequency analysis; ECG analysis; adaptive filtering; adaptive time-frequency analysis; autonomic nervous system; electrodiagnostics; heart rate; heart rate variability signals; noninvasive estimate; respiration frequency; sympathetic influence; true parasympathetic activity region; vagal tone changes; Autonomic nervous system; Bandwidth; Filters; Hafnium; Heart rate; Heart rate variability; Protocols; Signal analysis; Spectral analysis; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
Type :
conf
DOI :
10.1109/IEMBS.1995.579494
Filename :
579494
Link To Document :
بازگشت