G. Postolache, P. Girão, Claudia Maia Moura, O. Postolache
{"title":"Rehabilitative TeleHealthCare for post-stroke outcome assessment","authors":"G. Postolache, P. Girão, Claudia Maia Moura, O. Postolache","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246141","DOIUrl":null,"url":null,"abstract":"The article summarizes ongoing research on intelligent Tele-rehabilitation Assistants for in home rehabilitation of post stroke patients. The designed system is expressed by a set of smart sensors including a microwave FMCW Doppler radar that are connected to an embedded computing platform based on digital signal processor (DSP). This platform assures advanced data processing and wireless data transmission to a human machine interface (HMI) Android OS compatible device expressed by a tablet or by a smart phone as part of a health care intelligent ambient. The information from the health status and motor activity smart sensors is added to the patient localization given by a radar RFID device. Additionally, well-established neuron-rehabilitation instruments are used to evaluate the results obtained by the proposed architecture implemented in a ubiquitous and pervasive manner.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The article summarizes ongoing research on intelligent Tele-rehabilitation Assistants for in home rehabilitation of post stroke patients. The designed system is expressed by a set of smart sensors including a microwave FMCW Doppler radar that are connected to an embedded computing platform based on digital signal processor (DSP). This platform assures advanced data processing and wireless data transmission to a human machine interface (HMI) Android OS compatible device expressed by a tablet or by a smart phone as part of a health care intelligent ambient. The information from the health status and motor activity smart sensors is added to the patient localization given by a radar RFID device. Additionally, well-established neuron-rehabilitation instruments are used to evaluate the results obtained by the proposed architecture implemented in a ubiquitous and pervasive manner.