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Predicting blood pressure from physiological index data using the SVR algorithm

Crossref DOI link: https://doi.org/10.1186/s12859-019-2667-y

Published Online: 2019-02-28

Published Print: 2019-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Bing

Ren, Huihui http://orcid.org/0000-0002-9747-3255
Huang, Guoyan

Cheng, Yongqiang

Hu, Changzhen
Funding

Funding for this research was provided by:

National Key R&D Program of China (2016YFB0800700)

National Natural Science Foundation of China (61802332)

National Natural Science Foundation of China (61772449)

National Natural Science Foundation of China (61772451)

National Natural Science Foundation of China (61572420)

National Natural Science Foundation of China (61807028)

National Natural Science Foundation of China (61472341)

Yorkshire Innovative Fund project the validity of EIMO for BP measurement
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Article History

Received: 1 September 2018

Accepted: 1 February 2019

First Online: 28 February 2019

Ethics approval and consent to participate

: The study was approved by the Department of Sport, Health and Exercise Science, the University of Hull Ethics Committee and all experimental procedures conformed to the Declaration of Helsinki. All participants provided written informed consent after having all experimental procedures explained to them both verbally and in writing.

: Not applicable.

: The authors declare no conflict of interest.

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