Predicting blood pressure from physiological index data using the SVR algorithm

Author:

Zhang Bing,Ren HuihuiORCID,Huang Guoyan,Cheng Yongqiang,Hu Changzhen

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Yorkshire Innovative Fund project the validity of EIMO for BP measurement

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference45 articles.

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2. Ruiling F, Liqin Y. Design of digital sphygmomanometer. Mod Electron Tech. 2014; 37(3):128–31.

3. Xingye JXF. Research on Continuous Measurement of Blood Pressure via Characteristic Parameters of Pulse Wave. J Biomed Eng. 2002; 2:008.

4. Yuansheng L. New blood pressure measure method based on characteristic point. Electronic Measurement and Instruments, 2007. ICEMI’07. 8th International Conference on. Xi’an: IEEE; 2007. pp. 4–327-4-330.

5. Quan XL, He W, Zhang WW. New algorithm for oscillometric blood pressure measurement. Space Med Med Eng. 2006; 19(1):71–3.

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