G. Papamakarios, Dimitrios Giakoumis, Manolis Vasileiadis, K. Votis, D. Tzovaras, S. Segkouli, Charalampos Karagiannidis
{"title":"监测和支持MCI和AD患者体育锻炼干预的工具","authors":"G. Papamakarios, Dimitrios Giakoumis, Manolis Vasileiadis, K. Votis, D. Tzovaras, S. Segkouli, Charalampos Karagiannidis","doi":"10.4108/icst.pervasivehealth.2014.255345","DOIUrl":null,"url":null,"abstract":"This paper presents a tool to monitor and support the execution of common physical exercise interventions targeting people with Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD) and elderly in general. Our tool aims (a) to stimulate and guide patients within physical exercise programs, (b) to monitor patient capacity to perform exercises suggested by clinicians and provide objective feedback and (c) to enable early diagnosis of significant changes in the physical capacity of users over time. Our tool incorporates a virtual 3D trainer, demonstrating prescribed exercises; currently, arms lifting, arms stretching, torso bending and torso twisting are supported. Utilizing a low-cost depth camera and markerless skeletal joint estimation, our tool monitors movement during exercise execution, evaluating patient performance with a set of metrics introduced herein. Through preliminary experimental analysis, our metrics were found of significant potential to discriminate among good and bad executions of the currently supported exercises.","PeriodicalId":120856,"journal":{"name":"Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A tool to monitor and support physical exercise interventions for MCI and AD patients\",\"authors\":\"G. Papamakarios, Dimitrios Giakoumis, Manolis Vasileiadis, K. Votis, D. Tzovaras, S. Segkouli, Charalampos Karagiannidis\",\"doi\":\"10.4108/icst.pervasivehealth.2014.255345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a tool to monitor and support the execution of common physical exercise interventions targeting people with Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD) and elderly in general. Our tool aims (a) to stimulate and guide patients within physical exercise programs, (b) to monitor patient capacity to perform exercises suggested by clinicians and provide objective feedback and (c) to enable early diagnosis of significant changes in the physical capacity of users over time. Our tool incorporates a virtual 3D trainer, demonstrating prescribed exercises; currently, arms lifting, arms stretching, torso bending and torso twisting are supported. Utilizing a low-cost depth camera and markerless skeletal joint estimation, our tool monitors movement during exercise execution, evaluating patient performance with a set of metrics introduced herein. Through preliminary experimental analysis, our metrics were found of significant potential to discriminate among good and bad executions of the currently supported exercises.\",\"PeriodicalId\":120856,\"journal\":{\"name\":\"Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/icst.pervasivehealth.2014.255345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/icst.pervasivehealth.2014.255345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A tool to monitor and support physical exercise interventions for MCI and AD patients
This paper presents a tool to monitor and support the execution of common physical exercise interventions targeting people with Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD) and elderly in general. Our tool aims (a) to stimulate and guide patients within physical exercise programs, (b) to monitor patient capacity to perform exercises suggested by clinicians and provide objective feedback and (c) to enable early diagnosis of significant changes in the physical capacity of users over time. Our tool incorporates a virtual 3D trainer, demonstrating prescribed exercises; currently, arms lifting, arms stretching, torso bending and torso twisting are supported. Utilizing a low-cost depth camera and markerless skeletal joint estimation, our tool monitors movement during exercise execution, evaluating patient performance with a set of metrics introduced herein. Through preliminary experimental analysis, our metrics were found of significant potential to discriminate among good and bad executions of the currently supported exercises.