{"title":"使用可穿戴设备监测和分析心脏风险患者心脏应激水平的技术模型","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":"{\"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}","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}
Technological Model for monitoring and analysis of the level of Cardiac Stress in patients of Cardiac Risk using wearables
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.