Heart Rate Prediction Model based on Physical Activities using Evolutionary Neural Network

Loading...
Thumbnail Image
File version
Author(s)
Xiao, Feng
Chen, Yi-min
Yuchi, Ming
Ding, Ming-yue
Jo, Jun Hyung
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)

Bob Werner

Date
2010
Size

164933 bytes

File type(s)

application/pdf

Location

Shenzhen, China

License
Abstract

Physical activity (PA) can influence heart rate(HR). But the relationship between HR and PA is hard to describe. In our previous works, HR prediction models based on PA were designed. However, the prediction time length and accuracy are usually hard to compromise. In this study, a new HR prediction method is proposed. The predicted HR is used as the input in the next prediction step. Only HR at the initial time step and PA signals are needed in a long prediction time length. Evolutionary neural network is used as the mathematic basic of the predictor to ensure the prediction accuracy. The results show the predicted HR can trace the actual HR well.

Journal Title
Conference Title

Proceedings Fourth International Conference on Genetic and Evolutionary Computing

Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Item Access Status
Note
Access the data
Related item(s)
Subject

Neural, Evolutionary and Fuzzy Computation

Persistent link to this record
Citation