{"title":"Technological Model for monitoring and analysis of the level of Cardiac Stress in patients of Cardiac Risk using wearables","authors":"A. Rasmussen, Bruno Albín, Jimmy Armas-Aguirre","doi":"10.1109/SHIRCON48091.2019.9024862","DOIUrl":null,"url":null,"abstract":"In this paper, an e-health monitoring model is proposed to the wellbeing of high-risk cardiac patients. The proposed model allows the detection of anomalies in cardiac behavior by analyzing the information obtained from a wearable. The model is composed of 4 phases that go from the data collection with a wearable and smart phone application to the visualization and analysis of the data to aid medical decision making. A pilot study was conducted with 5 patients who met 3 of the 7 risk factors for a heart attack and one presented supraventricular arrhythmia during the study. Practical and technical implications are discussed.","PeriodicalId":113450,"journal":{"name":"2019 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Sciences and Humanities International Research Conference (SHIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHIRCON48091.2019.9024862","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, an e-health monitoring model is proposed to the wellbeing of high-risk cardiac patients. The proposed model allows the detection of anomalies in cardiac behavior by analyzing the information obtained from a wearable. The model is composed of 4 phases that go from the data collection with a wearable and smart phone application to the visualization and analysis of the data to aid medical decision making. A pilot study was conducted with 5 patients who met 3 of the 7 risk factors for a heart attack and one presented supraventricular arrhythmia during the study. Practical and technical implications are discussed.