Heart Rate Prediction Based on Physical Activity using Feedforward Neural Network

File Size Format
55513_1.pdf 286Kb Adobe PDF View
Title Heart Rate Prediction Based on Physical Activity using Feedforward Neural Network
Author Yuchi, Ming; Jo, Jun Hyung
Publication Title Proceedings of the 2008 International Conference on Convergence and Hybrid Information Technology (ICHIT 2008)
Editor Geuk Lee, TaeNam Ahn, Daniel Howard, Dominik Slezak
Year Published 2008
Place of publication USA
Publisher IEEE
Abstract The technique of combining heart rate (HR) and physical activity (PA) has been adopted in a number of research areas, such as energy expenditure measurement, autonomic nervous system assessment, sports research, etc. However, there have been few studies on the direct relationship between HR and PA. This paper proposes a HR prediction model based on the relationship between HR and PA. The predictor has the potential to be used in various areas, such as: cardiopathy research and diagnosis, heart attack warning indicator, sports capability measure and mental activity evaluation. The method has the following steps: first, the recorded HR and PA signals are preprocessed as two synchronized time sequences: HR(n) and PA(n). The inputs of the predictor are HR(n) and PA(n) in the current time step, and the output is the predicted sequence HR(n + 1) in the next time step. The feed forward neural network (FFNN) was chosen as the mathematical model of the predictor. Experiments was conducted based on the real-life signals from a healthy male. A set of 90 minute signals were collected. One half of the signal set was used to train the FFNN and the other half to validate the training. The mean absolute error of the predicted heart rate was restricted inside 5. The result shows the potential of the proposed method.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ICHIT.2008.175
Copyright Statement Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 978-0-7695-3328-5
Conference name 2008 nternational Conference on Convergence and Hybrid Information Technology (ICHIT 2008)
Location Daejeon, Korea
Date From 2008-08-28
Date To 2008-08-29
URI http://hdl.handle.net/10072/24804
Date Accessioned 2009-05-11
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Engineering
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice