Title :
Frequency-domain techniques for heart rate variability analysis
Author :
Yan, Xiangguo ; Zheng, Chongxun
Author_Institution :
Inst. of Biomed. Eng., Xi´´an Jiaotong Univ., China
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579381
