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http://dx.doi.org/10.3837/tiis.2022.04.007

Systolic blood pressure measurement algorithm with mmWave radar sensor  

Shi, JingYao (Department of Computer Engineering, Gachon University)
Lee, KangYoon (Department of Computer Engineering, Gachon University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.16, no.4, 2022 , pp. 1209-1223 More about this Journal
Abstract
Blood pressure is one of the key physiological parameters for determining human health, and can prove whether human cardiovascular function is healthy or not. In general, what we call blood pressure refers to arterial blood pressure. Blood pressure fluctuates greatly and, due to the influence of various factors, even varies with each heartbeat. Therefore, achievement of continuous blood pressure measurement is particularly important for more accurate diagnosis. It is difficult to achieve long-term continuous blood pressure monitoring with traditional measurement methods due to the continuous wear of measuring instruments. On the other hand, radar technology is not easily affected by environmental factors and is capable of strong penetration. In this study, by using machine learning, tried to develop a linear blood pressure prediction model using data from a public database. The radar sensor evaluates the measured object, obtains the pulse waveform data, calculates the pulse transmission time, and obtains the blood pressure data through linear model regression analysis. Confirm its availability to facilitate follow-up research, such as integrating other sensors, collecting temperature, heartbeat, respiratory pulse and other data, and seeking medical treatment in time in case of abnormalities.
Keywords
Blood pressure estimation; mmWave Radar; non-contact; Pulse Wave Transit Time;
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