A Design Of Heart Rate Monitor Bracelet Based On Bp Neural Network

Yilun Liao, Yu Zhang () and Yanping Kang
Additional contact information
Yilun Liao: Guilin Zhishen Information Technology Limited company
Yu Zhang: Institute of Information Science and Engineering, Guilin University of Technology.
Yanping Kang: Institute of Information Science and Engineering, Guilin University of Technology.

Information Management and Computer Science (IMCS), 2018, vol. 1, issue 1, 15-17

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.

Keywords: BP neural network; hand ring model; heart rate monitoring.Journal: Information Management and Computer Science (IMCS) (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.theimcs.org/download/2741/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbimcs:v:1:y:2018:i:1:p:15-17

DOI: 10.26480/imcs.01.2018.15.17

Access Statistics for this article

Information Management and Computer Science (IMCS) is currently edited by Professor, Dr. Michael E. Auer

More articles in Information Management and Computer Science (IMCS) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).