A Research of Heart Rate Prediction Model Based on Evolutionary Neural Network

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Title A Research of Heart Rate Prediction Model Based on Evolutionary Neural Network
Author Xiao, Feng; Yuchi, Ming; Ding, Mingyue; Jo, Jun Hyung
Publication Title 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)
Editor IEEE
Year Published 2011
Place of publication United States
Publisher IEEE
Abstract Heart rate (HR) signal analysis is widely used in the medicine and medical research area. Physical activities (PA) are commonly recognized to greatly affect the changes of heart rate. A method of Evolutionary Neural Network -- Neuroevolution of Augmenting Topologies (NEAT) is used to build a PA-based HR predictor model. Through special coding, crossover and mutation operator, NEAT can implement network topology and connectivity weights evolution simultaneously. The common problem in evolutionary neural network, like competing conventions, how to protect the new innovation are effectively solved. The experimental results demonstrated the application potential of the approach.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ICBMI.2011.40
ISBN 9781457711527
Conference name International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)
Location Wuhan, China
Date From 2011-12-14
Date To 2011-12-17
URI http://hdl.handle.net/10072/45274
Date Accessioned 2012-04-11; 2012-05-28T22:15:41Z
Date Available 2012-05-28T22:15:41Z
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Neurosciences
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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