Abstract
This paper proposes a blood pressure estimation system based on electrocardiogram (ECG). The ECG is unconstraintly measured by wearable sensor. The sensor provides acquired data to personal computer by wireless communication. For estimation, the system extracts heart rate, R-T intervals from the ECG. The heart rate is calculated from R-R intervals, and R-T intervals are extracted based on fuzzy logic. Form the information and body composition information of subject, the system estimates mean blood pressure. In our experiment, we employed six subjects, and estimated their mean blood pressure. As a result, our proposed method estimated the blood pressures with low estimation errors and high correlation coefficients.
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Fujimoto, T., Nakajima, H., Tsuchiya, N., Hata, Y. (2014). Blood Pressure Estimation System by Wearable Electrocardiograph. In: Kim, Y., Ryoo, Y., Jang, Ms., Bae, YC. (eds) Advanced Intelligent Systems. Advances in Intelligent Systems and Computing, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-319-05500-8_10
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DOI: https://doi.org/10.1007/978-3-319-05500-8_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05499-5
Online ISBN: 978-3-319-05500-8
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