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Method Improvement And Testing On Electrocardiogram Classification

Posted on:2013-03-13Degree:MasterType:Thesis
Country:ChinaCandidate:J C ZhuFull Text:PDF
GTID:2248330374467237Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
In order to discuss computer-aided Electrocardiogram (ECG) diagnosis issue, some basic ECG knowledge is introduced first of all. Then functional requirements are focused.After that, morphological features are considered concerning their effectiveness, presentation and implementation.Later on, support vector machine (SVM) and their cascade connection are introduced. The improved way is presented based on the small size data set test and analysis. Then large size data are used to test and compare with classic SVM. Finally, further modification is thought.Of course, this paper is just a milestone results for application, transplantation, feedback and improvement are to be repeated to meet the actual demand.
Keywords/Search Tags:Electrocardiogram, Classification, Support Vector Machine, Morphological character
PDF Full Text Request
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