Cuff-less Blood Pressure Estimation using Pulse Waveform Analysis and Pulse Arrival Time.

Using the massive MIMIC physiological database, we tried to validate pulse wave analysis (PWA) based on multi-parameters model whether it can continuously estimate blood pressure (BP) values on single site of one hand. In addition, to consider the limitation of insufficient data acquirement for home user, we used pulse arrival time (PAT)-driven BP information to determine the individual scale factors of the PWA-BP estimation model. Experimental results indicate that the accuracy of the average regression model has error standard deviations of 10.6±3.3 mmHg (PAT), 8.7±3.2 mmHg (PWA) for SBP and 6.0±2.3 mmHg (PAT), 4.4±1.6 mmHg (PWA) for DBP on 23 subjects over a 1 day period. We defined a local-model which is extracted regression model from sparsely selected small dataset, contrast to full dataset for 24h (average-model). The limit of BP estimation accuracy from the local-model of PWA is lower than that of PAT-BP average-model. Whereas the error of the BP estimation local-model was reduced using more data for scaling, it required more than four times the 1 minute data extracted over the 12 h calibration period to predict BP for 1 day. This study shows that PWA has possibility to estimate BP value and PAT-driven BP information could be used to determine the individual scale factors of the PWA-BP estimation model for home users.

Citation

Young-Zoon Yoon, Jae Min Kang, Yongjoo Kwon, Sangyun Park, Seungwoo Noh, Younho Kim, Jongae Park, Sung Woo Hwang. Cuff-less Blood Pressure Estimation using Pulse Waveform Analysis and Pulse Arrival Time. IEEE journal of biomedical and health informatics. 2017 Jun 12

PMID: 28613189

search → result