{"title":"Personal data protection in pervasive health systems","authors":"C. Bettini","doi":"10.1109/PERCOMW.2017.7917592","DOIUrl":null,"url":null,"abstract":"Pervasive computing is increasing its impact in several areas related to health-care and well-being. Data collected from sensors in smart-homes are being processed to continuously recognize activities, change of habits, and critical events leading to innovative applications in monitoring patients with chronic diseases, elderly at risk of cognitive decline, and enable new opportunities for active aging. Data collected from wireless medical devices, smart-phones and watches complement data from environmental sensors to continuously collect an increasingly rich “personal medical context”.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2017.7917592","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
Pervasive computing is increasing its impact in several areas related to health-care and well-being. Data collected from sensors in smart-homes are being processed to continuously recognize activities, change of habits, and critical events leading to innovative applications in monitoring patients with chronic diseases, elderly at risk of cognitive decline, and enable new opportunities for active aging. Data collected from wireless medical devices, smart-phones and watches complement data from environmental sensors to continuously collect an increasingly rich “personal medical context”.
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