Michela Franzo', Simona Pascucci, M. Serrao, F. Marinozzi, F. Bini
{"title":"Kinect-based wearable prototype system for ataxic patients neurorehabilitation: control group preliminary results","authors":"Michela Franzo', Simona Pascucci, M. Serrao, F. Marinozzi, F. Bini","doi":"10.1109/MeMeA49120.2020.9137244","DOIUrl":null,"url":null,"abstract":"The aim of this study is to validate the wearable prototype system for ataxic patients’ neurorehabilitation based on the Microsoft Kinect device and to archive a preliminary results of a control group of healthy subjects. The system acquires kinematics quantities as 3D position, rotation angles, linear acceleration and angular velocity of the wrist joint during a rehabilitation exercise replayed in 2 different difficulties. The trajectories performed by the 20 subjects were analysed to find the best trajectory and the one completed in the least time. Comparing the acquired performances with the ideal ones, a reference range with which train the patients was obtained. Analysis related to gender and skill abilities were executed.","PeriodicalId":152478,"journal":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MeMeA49120.2020.9137244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The aim of this study is to validate the wearable prototype system for ataxic patients’ neurorehabilitation based on the Microsoft Kinect device and to archive a preliminary results of a control group of healthy subjects. The system acquires kinematics quantities as 3D position, rotation angles, linear acceleration and angular velocity of the wrist joint during a rehabilitation exercise replayed in 2 different difficulties. The trajectories performed by the 20 subjects were analysed to find the best trajectory and the one completed in the least time. Comparing the acquired performances with the ideal ones, a reference range with which train the patients was obtained. Analysis related to gender and skill abilities were executed.