TY - GEN
T1 - Non-contact blood pressure estimation using video pulse waves for ubiquitous health monitoring
AU - Yoshizawa, Makoto
AU - Sugita, Norihiro
AU - Abe, Makoto
AU - Tanaka, Akira
AU - Homma, Noriyasu
AU - Yambe, Tomoyuki
N1 - Funding Information:
This work was supported by the COI Stream Project founded by Japanese Ministry of Education, Science, Sports and Culture. M. Yoshizawa is with the Research Division on Advanced Information Technology, Cyberscience Center, Tohoku University, 6-6-05 Aoba, Aramaki, Aoba-ku, Sendai, 980-8579 Japan. N. Sugita is with Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan. M. Abe is with Graduate School of Engineering, Shinshu University, Nagano 380-0928, Japan. A. Tanaka is with Faculty of Symbiotic Systems Science, Fukushima University, Fukushima 960-1296, Japan. N. Homma is with Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan. T. Yambe is with the Institute of Development, Aging and Cancer, Tohoku University, Sendai, 980-8575 Japan.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - A non-contact measurement method for estimating blood pressure using video pulse waves has been developed. During fluctuation in blood pressure caused by respiratory arrest, the video pulse waves were measured by using a video camera to calculate the pulse transit time difference (PTTD) from a proximal part to a distal part with respect to the heart. Blood pressure was estimated by a multivariate regression model with the PTTD, heart rate and the pulse amplitude (PA) as explanatory variables. It was suggested that the variation among individuals could be suppressed by using correlation between the model parameters and the changes in the PA.
AB - A non-contact measurement method for estimating blood pressure using video pulse waves has been developed. During fluctuation in blood pressure caused by respiratory arrest, the video pulse waves were measured by using a video camera to calculate the pulse transit time difference (PTTD) from a proximal part to a distal part with respect to the heart. Blood pressure was estimated by a multivariate regression model with the PTTD, heart rate and the pulse amplitude (PA) as explanatory variables. It was suggested that the variation among individuals could be suppressed by using correlation between the model parameters and the changes in the PA.
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U2 - 10.1109/GCCE.2017.8229429
DO - 10.1109/GCCE.2017.8229429
M3 - Conference contribution
AN - SCOPUS:85045749843
T3 - 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
SP - 1
EP - 3
BT - 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Global Conference on Consumer Electronics, GCCE 2017
Y2 - 24 October 2017 through 27 October 2017
ER -