期刊
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
卷 58, 期 1, 页码 7-11出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2010.2086456
关键词
Autonomic nervous system; blood volume pulse (BVP); heart rate variability (HRV); independent component analysis (ICA); noncontact; photoplethysmography (PPG); remote sensing; respiration
资金
- Nancy Lurie Marks Family Foundation
- Center for Integration of Medicine and Innovative Technology (CIMIT)
We present a simple, low-cost method for measuring multiple physiological parameters using a basic webcam. By applying independent component analysis on the color channels in video recordings, we extracted the blood volume pulse from the facial regions. Heart rate (HR), respiratory rate, and HR variability (HRV, an index for cardiac autonomic activity) were subsequently quantified and compared to corresponding measurements using Food and Drug Administration-approved sensors. High degrees of agreement were achieved between the measurements across all physiological parameters. This technology has significant potential for advancing personal health care and telemedicine.
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