Particle Swarm Optimization Modelling of the Heart Rate Response in Treadmill Exercise

被引：0

作者：

Esmaeili, Ali ^{[1
]}

Ibeas, Asier ^{[1
]}

机构：

[1] Univ Autonoma Barcelona, Dept Telecommun & Syst Engn, E-08193 Barcelona, Spain

来源：

2016 20TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC) | 2016年

关键词：

PSO identification; nonlinear system; Heart rate control; ESTIMATORS; PARAMETER; LOCATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The ability to control the HR in treadmill exercise is of great importance in the design of exercise routines. In order to perform the HR control, as a model relating HR with speed is needed. There arc several models but a key issue is the parameter estimation. This work considers the parameter estimation problem formulated as an optimization one and solved using Particle Swarm Optimization (PSO). This algorithm is used for the first time in this field. Achieved results and comparisons show the better improvement with respect to other estimation methods.

引用

页码：613 / 618

页数：6

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