NDLI: Segmentation of heart rate variability in different physical activities

Content Provider	IEEE Xplore Digital Library
Author	Chan, H.L. Lin, C.H. Ko, Y.L.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Chang-Gung Univ., Taiwan (Chan, H.L.; Lin, C.H.)
Abstract	Heart rate variability is due to the interaction of sympathetic and parasympathetic nervous system. The spectral analysis of HRV provides a noninvasive probe to assess the function of the autonomic nervous system. The recording of physiological signals on free-moving subjects provides a useful tool to evaluate the autonomic states in the daily activities, but the information of activities is lack in the conventional ECG Holter, so it is difficult to estimate HRV in different activities. In this paper, we developed a microcontroller-based system for ECG and physical-activity recording system. The acceleration signals located at chest and thigh is used to classify the basic activities, including lying (supine, left lateral, right lateral, and prone), sitting, standing, and dynamic activity. Time-frequency analysis is used to compute the time-varying spectra of heart rate variability. In the 24-hour recording, the high-frequency fluctuations are the largest and the second in the sitting, which means major dominance of parasympathetic tone. As the posture is changing form sitting to standing and dynamic activity, the low-frequency power to high-frequency power ratio increases which demonstrates the increase of sympathetic tone and decrease of parasympathetic tone.
Sponsorship	European Soc. of Cardiology Nat. Inst. of Health, USA
Starting Page	97
Ending Page	100
File Size	218645
Page Count	4
File Format	PDF
ISBN	078038170X
ISSN	02766547
DOI	10.1109/CIC.2003.1291099
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-21
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate variability Electrocardiography Parasympathetic nervous system Spectral analysis Probes Autonomic nervous system State estimation Acceleration Thigh Time frequency analysis
Content Type	Text
Resource Type	Article

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