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http://dx.doi.org/10.15207/JKCS.2020.11.7.035

Analysis of Change Rate of SBP and DBP Estimation Fusion Algorithm According to PTT Measurement change PPG Pulse Wave Analysis  

Kim, Seon-Chil (Department of Biomedical Engineering, Keimyung University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.7, 2020 , pp. 35-40 More about this Journal
Abstract
Recently, devices such as smart watches capable of measuring small biosignals have been released. Body composition, blood pressure, heart rate, and oxygen saturation can be easily obtained. However, the part that is not trusted by the user is accuracy. These biosignals are sensitive to the external environment and have large fluctuations depending on the conditions inside the subject's body. Blood pressure measurements, in particular, still give different results, depending on how the conditions in the body are handled. Therefore, in this study, PPG was analyzed to measure PTT at two points of 80% and 100%, the highest in PTT measurement. The effect of the measured value on SBP and DBP was analyzed and a method was proposed to increase the accuracy. As a result of the study, the measured value of PTT at 80% of the peak PPG is more effective in estimating blood pressure of SBP and DBP than the value measured at 100%. In the regression analysis of the rate of change blood pressure estimation, the coefficient of determination of SBP (80%) was 0.6946, and DBP (100%) was 0.547.
Keywords
Blood Pressure; Electrocardiogram; Systolic Blood Pressure; Diastolic Blood Pressure; Pulse Transit Time; Photoplethysmography;
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Times Cited By KSCI : 2  (Citation Analysis)
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