Blood pressure estimation system by wearable electrocardiograph

被引:0
作者
机构
[1] Graduate School of Engineering, University of Hyogo, Hyogo
[2] Technology and Intellectual Property H.Q. OMRON Corporation, Kizugawa
[3] WPI Immunology Frontier Research Center, Osaka University, Osaka
来源
| 1600年 / Springer Verlag卷 / 268期
基金
日本学术振兴会;
关键词
Blood pressure; Electrocardiogram; Fuzzy logic; Wearable sensor;
D O I
10.1007/978-3-319-05500-8_10
中图分类号
学科分类号
摘要
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. © Springer International Publishing Switzerland 2014.
引用
收藏
页码:95 / 108
页数:13
相关论文
共 11 条
  • [1] Continua Health Alliance Home Page
  • [2] Hong Y., Kim I., Ahn S., Kim H., Activity Recognition using Wearable Sensors for Elder Care, Proc. Of 2008 FGCN 2008. Second Int. Conf. On Future Generation Communication and Networking, pp. 302-305, (2008)
  • [3] Tanii H., Nakajima H., Tsuchiya N., Kuramoto K., Kobashi S., Hata Y., A Fuzzy Logic Approach to Predict Human Body Weight Based on AR Model, Proc. Of 2011 IEEE Int. Conf. On Fuzzy Systems, pp. 1022-1025, (2011)
  • [4] Hata Y., Yamaguchi H., Kobashi S., Taniguchi K., Nakajima H., A Human Health Monitoring System of Systems in Bed, Proc. Of IEEE Third Int. Conf. On System of Systems Engineering. CD-ROM, (2008)
  • [5] Hata Y., Kobashi S., Kuramoto K., Nakajima H., Fuzzy Biosignal Detection Algorithm and Its Application to Health Monitoring, International Journal of Applied and Computational Mathematics, 10, 1, pp. 133-145, (2011)
  • [6] Yamamoto K., Kobashi S., Hata Y., Tsuchiya N., Nakajima H., Real time autonomic nervous system display with air cushion sensor while seated, Proc. Of 2009 IEEE Int. Conf. On Systems, Man and Cybernetics, pp. 1116-1121, (2009)
  • [7] Softbank Healthcare Homepage
  • [8] Fujimoto T., Nakajima H., Tsuchiya T., Marukawa H., Kuramoto K., Kobashi S., Hata Y., Wearable human activity recognition by electrocardiograph and accelerometer, Proc. Of IEEE 43Rd Int. Symp. On Multiple-Valued Logic, pp. 12-17, (2013)
  • [9] Ali Hassan M.K., Mashor M.Y., Mohd Saad A.R., Mohamed M.S., A Portable Continuous Blood Pressure Monitoring Kit, 2011 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA), pp. 503-507, (2011)
  • [10] Sahoo A., Manimegalai P., Thanushkodi K., Wavelet Based Pulse Rate and Blood Pressure Estimation System From ECG and PPG Signals, Computer, Communication and Electrical Technology, pp. 285-289, (2011)