Frequency-domain techniques for heart rate variability analysis

Author

Yan, Xiangguo ; Zheng, Chongxun

Author_Institution

Inst. of Biomed. Eng., Xi´´an Jiaotong Univ., China

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

961

Abstract

Two frequency domain techniques, fast Fourier transform (FFT) and maximum entropy estimation (MEE) methods for analyzing Heart Rate Variability (HRV), are described. Analysis results showed that low frequency components (LF:0.04-0.15 Hz) reflecting sympathetic nervous activity occupy a dominant position on day time, high frequency components (HF:0.4-0.40 Hz) reflecting vagal nervous activity become stronger at night. There is a cluster of peaks ranging from 0.20-0.30 Hz at night. In the morning, LF/HF ratio trend graphics changed sharply. This may be quite significant for predicting sudden death of an intensive heart disease patient. Both analysis results have a high degree of positive correlation, and cross-correlation coefficient is more than 0.99. However, MEE has a higher frequency resolution than FFT

Keywords

electrocardiography; fast Fourier transforms; frequency-domain analysis; maximum entropy methods; medical signal processing; neurophysiology; 0.04 to 0.40 Hz; ambulatory Holter ECG; cross-correlation coefficient; day time; electrodiagnostics; frequency-domain techniques; heart rate variability analysis; high frequency components; intensive heart disease patient; low frequency components; morning; night; peaks cluster; sudden death prediction; sympathetic nervous activity; vagal nervous activity; Autonomic nervous system; Cardiac disease; Electrocardiography; Entropy; Fast Fourier transforms; Frequency domain analysis; Frequency estimation; Graphics; Heart rate variability; Resonant frequency;

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.1995.579381

Filename

579381