Title :
Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam
Author :
Poh, Ming-Zher ; McDuff, Daniel J. ; Picard, Rosalind W.
Author_Institution :
Div. of Health Sci. & Technol. (HST), Harvard-MIT, Cambridge, MA, USA
Abstract :
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.
Keywords :
biomedical optical imaging; blood flow measurement; cameras; cardiology; health care; image sensors; telemedicine; blood volume pulse; cardiac autonomic activity index; color channels; facial regions; heart rate variability; independent component analysis; multiparameter physiological measurements; multiple physiological parameter measurement; noncontact physiological measurements; personal health care; respiratory rate; telemedicine; video recordings; webcam; Biomedical measurements; Frequency measurement; Hafnium; Heart rate variability; Resonant frequency; Sensors; Autonomic nervous system; blood volume pulse (BVP); heart rate variability (HRV); independent component analysis (ICA); noncontact; photoplethysmography (PPG); remote sensing; respiration; Adult; Algorithms; Female; Humans; Image Processing, Computer-Assisted; Internet; Male; Monitoring, Physiologic; Telemedicine; Video Recording;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2010.2086456