标题:ECG quality assessment based on a kernel support vector machine and genetic algorithm with a feature matrix
作者:Ya-tao ZHANG;Cheng-yu LIU;Shou-shui WEI;Chang-zhi WEI;Fei-fei LIU;
作者机构:[Ya-tao ZHANG;Cheng-yu LIU;Shou-shui WEI;Chang-zhi WEI;Fei-fei LIU]School of Control Science and Engineering, Shandong University;[Ya-tao ZHANG;Cheng- 更多
来源:Journal of Zhejiang University-Science C(Computers & Electronics)
出版年:2014
期:07
页码:564-573
关键词:ECG quality assessment;Kernel support vector machine;Genetic algorithm;Power spectrum;Cross validation
摘要:We propose a systematic ECG quality classification method based on a kernel support vector machine(KSVM) and genetic algorithm(GA) to determine whether ECGs collected via mobile phone are acceptable or not. This method includes mainly three modules, i.e., lead-fall detection, feature extraction, and...
资源类型:期刊论文
原文链接:http://kns.cnki.net/kns/detail/detail.aspx?FileName=JZUS201407006&DbName=CJFQ2014
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