Title :
Spectral analysis of heart rate variability using breathing bursts as a time base
Author :
Dwyer, Gene ; Noguchi, Yasuaki ; Szeto, Hazel H.
Author_Institution :
Dept. of Pharmacology, Cornell Univ. Med. Coll., New York, NY, USA
Abstract :
Diaphragmatic EMG burst activity is analyzed by means of waveform recognition, yielding a nonlinear time scale where the interval between each EMG burst is taken as one time period. The heart-rate variability data are then suitably interpolated to yield a pseudotime data series with respect to the EMG time base. Spectral analysis of the interpolated EKG rate data reveals a harmonic mode associated with breathing, but with substantially reduced peak width. Using this procedure, the EKG spectrum is averaged over long periods with little peak broadening due to changes in breathing rate
Keywords :
bioelectric potentials; electrocardiography; muscle; spectral analysis; breathing bursts; diaphragmatic EMG burst activity; harmonic mode; heart rate variability; interpolated EKG rate data; nonlinear time scale; peak broadening; pseudotime data series; spectral analysis; time base; waveform recognition; Educational institutions; Electromyography; Fourier transforms; Frequency; Heart beat; Heart rate; Heart rate variability; Laser mode locking; Spectral analysis; Spectrogram;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95547
