TY - JOUR
T1 - Noncontact monitoring breathing pattern, exhalation flow rate and pulse transit time
AU - Shao, Dangdang
AU - Yang, Yuting
AU - Liu, Chenbin
AU - Tsow, Francis
AU - Yu, Hui
AU - Tao, Nongjian
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/1
Y1 - 2014/11/1
N2 - We present optical imaging-based methods to measure vital physiological signals, including breathing frequency (BF), exhalation flow rate, heart rate (HR), and pulse transit time (PTT). The breathing pattern tracking was based on the detection of body movement associated with breathing using a differential signal processing approach. A motion-tracking algorithm was implemented to correct random body movements that were unrelated to breathing. The heartbeat pattern was obtained from the color change in selected region of interest (ROI) near the subject's mouth, and the PTT was determined by analyzing pulse patterns at different body parts of the subject. The measured BF, exhaled volume flow rate and HR are consistent with those measured simultaneously with reference technologies (r = 0.98, p<0.001 for HR; r = 0.93, p<0.001 for breathing rate), and the measured PTT difference (30-40 ms between mouth and palm) is comparable to the results obtained with other techniques in the literature. The imaging-based methods are suitable for tracking vital physiological parameters under free-living condition and this is the first demonstration of using noncontact method to obtain PTT difference and exhalation flow rate.
AB - We present optical imaging-based methods to measure vital physiological signals, including breathing frequency (BF), exhalation flow rate, heart rate (HR), and pulse transit time (PTT). The breathing pattern tracking was based on the detection of body movement associated with breathing using a differential signal processing approach. A motion-tracking algorithm was implemented to correct random body movements that were unrelated to breathing. The heartbeat pattern was obtained from the color change in selected region of interest (ROI) near the subject's mouth, and the PTT was determined by analyzing pulse patterns at different body parts of the subject. The measured BF, exhaled volume flow rate and HR are consistent with those measured simultaneously with reference technologies (r = 0.98, p<0.001 for HR; r = 0.93, p<0.001 for breathing rate), and the measured PTT difference (30-40 ms between mouth and palm) is comparable to the results obtained with other techniques in the literature. The imaging-based methods are suitable for tracking vital physiological parameters under free-living condition and this is the first demonstration of using noncontact method to obtain PTT difference and exhalation flow rate.
KW - Mobile health
KW - photoplethysmography (PPG),physiological signal detection
KW - pulse transit time (PTT)
KW - remote sensing
KW - respiration
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U2 - 10.1109/TBME.2014.2327024
DO - 10.1109/TBME.2014.2327024
M3 - Article
C2 - 25330153
AN - SCOPUS:84908098988
SN - 0018-9294
VL - 61
SP - 2760
EP - 2767
JO - IRE transactions on medical electronics
JF - IRE transactions on medical electronics
IS - 11
M1 - 6824168
ER -