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