Advancements in noncontact, multiparameter physiological measurements using a webcam.
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.
Harvard-MIT Division of Health Sciences and Technology(HST), Cambridge, MA 02139, USA. zher@mit.edu
Ming-Zher
MZ
Poh
Daniel J
DJ
McDuff
Rosalind W
RW
Picard
D000328:Adult; D000465:Algorithms; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D020407:Internet; D008297:Male; D008991:Monitoring, Physiologic / Q000295:instrumentation* / Q000379:methods; D017216:Telemedicine / Q000295:instrumentation* / Q000379:methods; D014741:Video Recording / Q000295:instrumentation