[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"hand-injury-rehabilitation\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:hand-injury-rehabilitation":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":29,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100630832","accessible-remote-rehabilitation-system-for-real-time-biomechanical-monitoring-100630832",false,"NCT07492797","Accessible Remote Rehabilitation System for Real-Time Biomechanical Monitoring","Development and Clinical Validation of an AI-Based Camera System for Real-Time Biomechanical Monitoring in Upper-Limb Rehabilitation","Inclusion Criteria:\n\n* Adults aged 18 years or older.\n* Individuals undergoing or recovering from upper-limb or hand rehabilitation following musculoskeletal or neurological injury or surgery.\n* Ability to perform basic hand or upper-limb movement tasks required for the rehabilitation exercises.\n* Ability to understand study instructions and provide informed consent.\n\nExclusion Criteria:\n\n* Severe cognitive impairment preventing understanding of study procedures.\n* Medical conditions that prevent safe participation in hand or upper-limb rehabilitation exercises.\n* Severe visual impairment preventing interaction with the camera-based monitoring system.\n* Participation in another interventional study that could affect rehabilitation outcomes.",true,"ALL","18 Years",{"count":20,"type":21},40,"ESTIMATED","INTERVENTIONAL",[24],"NA","This study evaluates a novel camera-based system designed to support remote rehabilitation by measuring hand and upper-limb biomechanics in real time. Many patients recovering from musculoskeletal or neurological conditions require frequent monitoring during rehabilitation, but regular clinic visits may be difficult due to distance, cost, or limited access to specialized care. Current telehealth approaches typically rely on qualitative assessments or self-reported feedback rather than objective biomechanical measurements.\n\nThe purpose of this study is to determine whether a computer vision-based system can accurately estimate biomechanical parameters such as joint angles, range of motion, muscle force, and joint torque using only a standard camera. The system analyzes hand movement using artificial intelligence and biomechanical modeling to provide real-time measurements during rehabilitation exercises.\n\nParticipants will perform guided hand-movement tasks while the system records video and extracts anatomical landmarks. These data will be used to compute biomechanical parameters and assess whether the system can reliably monitor rehabilitation progress remotely. The results will help determine whether this technology can provide clinicians with objective, continuous data to support personalized rehabilitation and improve patient outcomes.",[27,28],"Hand Injury Rehabilitation","Postoperative Rehabilitation",[30,31,32,33],"Tele-rehabilitation","Computer Vision","Biomechanics","Hand Motion Analysis","NOT_YET_RECRUITING","2026-05-15",{"date":37,"type":38},"2026-05-19","ACTUAL",{"date":40,"type":21},"2026-06-01",{"date":42,"type":21},"2027-03-14",{"name":44,"class":45},"Mississippi State University","OTHER",2]