A DESIGN OF HEART RATE MONITOR BRACELET BASED ON BP NEURAL NE TWORK

Journal Title: Information Management and Computer Science (IMCS) - Year 2018, Vol 1, Issue 1

Abstract

Article History: Through BP neural network self-learning, the wearable heart rate test bracelet is self-learned to determine the state of the heart in the current time period, and to pre-warn the abnormality of the heart. And when an abnormal heart rate is found, an alarm is immediately issued to reduce the risk of heart problems to people.

Authors and Affiliations

Yilun Liao, Yu Zhang, Xiaohui Cheng, Yanping Kang

Keywords

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  • EP ID EP404449
  • DOI 10.26480/imcs.01.2018.15.17
  • Views 86
  • Downloads 0

How To Cite

Yilun Liao, Yu Zhang, Xiaohui Cheng, Yanping Kang (2018). A DESIGN OF HEART RATE MONITOR BRACELET BASED ON BP NEURAL NE TWORK. Information Management and Computer Science (IMCS), 1(1), 15-17. https://europub.co.uk/articles/-A-404449