{"title":"The Application Development for Measuring and Evaluating ECG Data for Home Health Care Using Smart Clothes","authors":"M. Paralic, R. Hudec","doi":"10.23919/NTSP.2018.8524104","DOIUrl":null,"url":null,"abstract":"In this paper, we present a development of a mobile application for Electrocardiogram evaluation integrated, with smart clothing via a Bluetooth connection. The objectives of the application are wireless data collection and analysis of electrocardiogram. The analysis is aimed for detection of Q, R and S parameters. Measurement and evaluation of parameters can allow detection of regularity and rhythm of heartbeats. Early warning can help to decide for preventive actions to avoid a lot of heart diseases. The application stores recorded data in the form of the format of arrythmia database to be compatible with the professional medical software for further analysis of electrocardiogram records. Also, we proposed a simplified version of Pan and Tompkins algorithm. We reduced a delay in signal analysis at the cost of reducing the accuracy of the original algorithm. This solution will be devoted to the purposes of research and home health care instead of clinical diagnosis.","PeriodicalId":177579,"journal":{"name":"2018 New Trends in Signal Processing (NTSP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 New Trends in Signal Processing (NTSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/NTSP.2018.8524104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present a development of a mobile application for Electrocardiogram evaluation integrated, with smart clothing via a Bluetooth connection. The objectives of the application are wireless data collection and analysis of electrocardiogram. The analysis is aimed for detection of Q, R and S parameters. Measurement and evaluation of parameters can allow detection of regularity and rhythm of heartbeats. Early warning can help to decide for preventive actions to avoid a lot of heart diseases. The application stores recorded data in the form of the format of arrythmia database to be compatible with the professional medical software for further analysis of electrocardiogram records. Also, we proposed a simplified version of Pan and Tompkins algorithm. We reduced a delay in signal analysis at the cost of reducing the accuracy of the original algorithm. This solution will be devoted to the purposes of research and home health care instead of clinical diagnosis.