{"title":"A new method for ECG biometric recognition using a hierarchical scheme classifier","authors":"Yue Zhang, Youqun Shi","doi":"10.1109/ICSESS.2015.7339096","DOIUrl":null,"url":null,"abstract":"In this paper, a new method for ECG biometric recognition using a hierarchical scheme classifier is presented. The integral process of the method is introduced, including preprocessing, feature extraction and classification. To achieve a better performance of proposed method, cross-validation is applied to determine the parameters in the classifier. As a result, proposed method offers considerably high recognition rates when tested on MIT-BIH NSRDB. The total heartbeat recognition rate is 97.98%, and window recognition rate and subject recognition rate are both 100%.","PeriodicalId":335871,"journal":{"name":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2015.7339096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, a new method for ECG biometric recognition using a hierarchical scheme classifier is presented. The integral process of the method is introduced, including preprocessing, feature extraction and classification. To achieve a better performance of proposed method, cross-validation is applied to determine the parameters in the classifier. As a result, proposed method offers considerably high recognition rates when tested on MIT-BIH NSRDB. The total heartbeat recognition rate is 97.98%, and window recognition rate and subject recognition rate are both 100%.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
