{"title":"An application of a new genetic algorithm to assist the detection of segments of an ECG signals","authors":"Bruno R. P. Melo, R. Lopes, L. Coradine","doi":"10.1145/2093698.2093725","DOIUrl":null,"url":null,"abstract":"In this paper, we present the specification of a type of genetic algorithm that was used for the detection of segments present in ECG signal waves. The algorithm was tested and evaluated for its efficiency in front of samples obtained from the MIT-BIH Arrhythmia Database and the results are also presented here. The algorithm used was based on a genetic algorithm based on abstract data types and was implemented in MatLab. The results showed that the detector can be implemented in systems for detecting arrhythmias and may become a tool to improve medical care treatment that is provided to patients with cardiovascular problems.","PeriodicalId":91990,"journal":{"name":"... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2093698.2093725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we present the specification of a type of genetic algorithm that was used for the detection of segments present in ECG signal waves. The algorithm was tested and evaluated for its efficiency in front of samples obtained from the MIT-BIH Arrhythmia Database and the results are also presented here. The algorithm used was based on a genetic algorithm based on abstract data types and was implemented in MatLab. The results showed that the detector can be implemented in systems for detecting arrhythmias and may become a tool to improve medical care treatment that is provided to patients with cardiovascular problems.
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