{"title":"通过运动监测和分析实现患者远程康复","authors":"M. Kozlovszky","doi":"10.1109/CINTI.2013.6705171","DOIUrl":null,"url":null,"abstract":"Accurate motion monitoring can provide detailed information through qualitative and quantitative analysis of patient movements in the field of rehabilitation and thus can become an effective tool set for treatment of motion problems. Normally patients are doing rehabilitation training programs under the guidance of their supervisor only during some small fragment (1-2 hours) of the day. Remote motion monitoring can enable skilled medical staff to monitor closely patient's training activities at home during the whole day, thus multi-part (morning, afternoon, evening) training sessions can be included easily into the daily life and in certain cases (e.g.: stroke rehabilitation) this can enhance the healing process significantly and can lead to better restoration results. Accurate movement/motion monitoring can enable medical experts to introduce individual (patient specific) rehabilitation programs, and assess the value of the training program at any time with high granularity level. The MOVANDIS framework is a novel, generic, vendor independent motion data collector and movement visualizer software solution. This paper focuses mainly its internal architecture, and its usage scenarios within the field of telerehabilitation.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enabling patient remote rehabilitation through motion monitoring and analysis\",\"authors\":\"M. Kozlovszky\",\"doi\":\"10.1109/CINTI.2013.6705171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accurate motion monitoring can provide detailed information through qualitative and quantitative analysis of patient movements in the field of rehabilitation and thus can become an effective tool set for treatment of motion problems. Normally patients are doing rehabilitation training programs under the guidance of their supervisor only during some small fragment (1-2 hours) of the day. Remote motion monitoring can enable skilled medical staff to monitor closely patient's training activities at home during the whole day, thus multi-part (morning, afternoon, evening) training sessions can be included easily into the daily life and in certain cases (e.g.: stroke rehabilitation) this can enhance the healing process significantly and can lead to better restoration results. Accurate movement/motion monitoring can enable medical experts to introduce individual (patient specific) rehabilitation programs, and assess the value of the training program at any time with high granularity level. The MOVANDIS framework is a novel, generic, vendor independent motion data collector and movement visualizer software solution. This paper focuses mainly its internal architecture, and its usage scenarios within the field of telerehabilitation.\",\"PeriodicalId\":439949,\"journal\":{\"name\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINTI.2013.6705171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI.2013.6705171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enabling patient remote rehabilitation through motion monitoring and analysis
Accurate motion monitoring can provide detailed information through qualitative and quantitative analysis of patient movements in the field of rehabilitation and thus can become an effective tool set for treatment of motion problems. Normally patients are doing rehabilitation training programs under the guidance of their supervisor only during some small fragment (1-2 hours) of the day. Remote motion monitoring can enable skilled medical staff to monitor closely patient's training activities at home during the whole day, thus multi-part (morning, afternoon, evening) training sessions can be included easily into the daily life and in certain cases (e.g.: stroke rehabilitation) this can enhance the healing process significantly and can lead to better restoration results. Accurate movement/motion monitoring can enable medical experts to introduce individual (patient specific) rehabilitation programs, and assess the value of the training program at any time with high granularity level. The MOVANDIS framework is a novel, generic, vendor independent motion data collector and movement visualizer software solution. This paper focuses mainly its internal architecture, and its usage scenarios within the field of telerehabilitation.