{"title":"A motion-sensing enabled personalized exercise system for cardiac rehabilitation","authors":"Tung-Hung Lu, Hsing-Chen Lin, Yuehting Lee, Rong-Rong Chen, Hsueh-Lin Chen, Shu-Yuan Chang, Ji-Ding Chen, Bo-Ru Wu, Tsong-Ho Wu","doi":"10.1109/HealthCom.2012.6379382","DOIUrl":null,"url":null,"abstract":"This work describes a motion-sensing enabled personalized exercise system for cardiac rehabilitation called CAROLS, capable of assisting healthcarers to find evidence-based effective exercise program for individual, and then motivating cardiac outpatients to improve their health recovery throughout a series of effective personalized rehabilitation exercises. In addition to making home-based cardiac rehabilitation exercise more effective and efficient, the CAROLS system can provide an interactive and user-friendly virtual gaming-environment for rehabilitation exercise in terms of monitoring real-time vital signs, increasing outpatient compliance for doctor prescription, as well as evaluating exercise efficiency and patient safety via a fusion function between a motion sensing technology and a wearable sensor device. The experimental system is in service trials with preliminary verification results including heart rate variability (HRV) analyses and motion similarity analysis of the 3-minute step test for normal users. Therefore, in addition to monitoring the exercise intensity and posture accuracy of outpatients, the CAROLS system provides clinical experts with a valuable reference for adjusting the exercise prescription in future scheduled return.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2012.6379382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This work describes a motion-sensing enabled personalized exercise system for cardiac rehabilitation called CAROLS, capable of assisting healthcarers to find evidence-based effective exercise program for individual, and then motivating cardiac outpatients to improve their health recovery throughout a series of effective personalized rehabilitation exercises. In addition to making home-based cardiac rehabilitation exercise more effective and efficient, the CAROLS system can provide an interactive and user-friendly virtual gaming-environment for rehabilitation exercise in terms of monitoring real-time vital signs, increasing outpatient compliance for doctor prescription, as well as evaluating exercise efficiency and patient safety via a fusion function between a motion sensing technology and a wearable sensor device. The experimental system is in service trials with preliminary verification results including heart rate variability (HRV) analyses and motion similarity analysis of the 3-minute step test for normal users. Therefore, in addition to monitoring the exercise intensity and posture accuracy of outpatients, the CAROLS system provides clinical experts with a valuable reference for adjusting the exercise prescription in future scheduled return.