Wallace Ugulino, M. Ferreira, Eduardo Velloso, H. Fuks
{"title":"Virtual Caregiver: A System for Supporting Collaboration in Elderly Monitoring","authors":"Wallace Ugulino, M. Ferreira, Eduardo Velloso, H. Fuks","doi":"10.1109/SBSC.2012.30","DOIUrl":null,"url":null,"abstract":"This paper presents the Virtual Caregiver system, a collaborative ubiquitous computing application. The application scenario is the monitoring of an 86 years old patient diagnosed with Alzheimer's disease and cardiac arrhythmia. The system consolidates data obtained from sensors in a wearable device to enable collaborative monitoring of elderly patients by relatives and health professionals using smart phones and social networks. From the classifier developed for this study, it was found 99.4% overall accuracy in a 10-fold cross validation test. We also obtained feedback from patients and relatives that have been useful to guide the development of a new version of the wearable, unobtrusive and adapted to the patient needs.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Brazilian Symposium on Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBSC.2012.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents the Virtual Caregiver system, a collaborative ubiquitous computing application. The application scenario is the monitoring of an 86 years old patient diagnosed with Alzheimer's disease and cardiac arrhythmia. The system consolidates data obtained from sensors in a wearable device to enable collaborative monitoring of elderly patients by relatives and health professionals using smart phones and social networks. From the classifier developed for this study, it was found 99.4% overall accuracy in a 10-fold cross validation test. We also obtained feedback from patients and relatives that have been useful to guide the development of a new version of the wearable, unobtrusive and adapted to the patient needs.