Eric A. Heiden, T. Cluff, Brian A. Richardson, R. Balasubramaniam
{"title":"实时反馈信号代表了坐姿到站立的潜在协调模式","authors":"Eric A. Heiden, T. Cluff, Brian A. Richardson, R. Balasubramaniam","doi":"10.1109/ICVR.2009.5174254","DOIUrl":null,"url":null,"abstract":"Rehabilitation of the sit-to-stand movement may be made more effective by providing feedback about the underlying coordination pattern rather than movement parameters. Principal component analysis (PCA) was used to identify coordination modes in sit-to-stand. An algorithm of movement parameters was used to create a visual feedback signal representing this coordination mode in real-time.","PeriodicalId":102061,"journal":{"name":"2009 Virtual Rehabilitation International Conference","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Real-time feedback signal represents the underlying coordination mode of sit-to-stand\",\"authors\":\"Eric A. Heiden, T. Cluff, Brian A. Richardson, R. Balasubramaniam\",\"doi\":\"10.1109/ICVR.2009.5174254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rehabilitation of the sit-to-stand movement may be made more effective by providing feedback about the underlying coordination pattern rather than movement parameters. Principal component analysis (PCA) was used to identify coordination modes in sit-to-stand. An algorithm of movement parameters was used to create a visual feedback signal representing this coordination mode in real-time.\",\"PeriodicalId\":102061,\"journal\":{\"name\":\"2009 Virtual Rehabilitation International Conference\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Virtual Rehabilitation International Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVR.2009.5174254\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Virtual Rehabilitation International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVR.2009.5174254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time feedback signal represents the underlying coordination mode of sit-to-stand
Rehabilitation of the sit-to-stand movement may be made more effective by providing feedback about the underlying coordination pattern rather than movement parameters. Principal component analysis (PCA) was used to identify coordination modes in sit-to-stand. An algorithm of movement parameters was used to create a visual feedback signal representing this coordination mode in real-time.