Safa Mejhoudi, R. Latif, A. Toumanari, W. Jenkal, A. Elouardi
{"title":"Implementation and evaluation of ECG signal processing algorithms on embedded architectures","authors":"Safa Mejhoudi, R. Latif, A. Toumanari, W. Jenkal, A. Elouardi","doi":"10.1109/EITECH.2017.8255287","DOIUrl":null,"url":null,"abstract":"This paper presents a survey and evaluation of the implementation of ECG signal processing algorithms on embedded architectures. ECG signal analysis and extraction of various features as QRS complex are important tasks in either clinical or biomedical practice. To this end, our work aims at developing a system for real-time monitoring of cardiac data based on an embedded architecture, which guarantees an accurate analysis without loss of information and allowing the extraction of all the necessary characteristics for an effective and fast diagnosis of patient's cardiac status.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electrical and Information Technologies (ICEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EITECH.2017.8255287","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
This paper presents a survey and evaluation of the implementation of ECG signal processing algorithms on embedded architectures. ECG signal analysis and extraction of various features as QRS complex are important tasks in either clinical or biomedical practice. To this end, our work aims at developing a system for real-time monitoring of cardiac data based on an embedded architecture, which guarantees an accurate analysis without loss of information and allowing the extraction of all the necessary characteristics for an effective and fast diagnosis of patient's cardiac status.