[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"cervical-proprioception\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:cervical-proprioception":25},{"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":4,"briefSummary":23,"conditions":24,"keywords":26,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":5},"100606918","evaluation-of-cervical-position-and-movement-sense-using-a-novel-computer-vision-based-software-100606918",false,"NCT07181798","Evaluation of Cervical Position and Movement Sense Using a Novel Computer Vision-Based Software","Evaluation of Cervical Position and Movement Sense Using Computer Vision Technology in Healthy Individuals","Inclusion Criteria:\n\n* Healthy individuals over 18 years of age\n* No neck pain\n\nExclusion Criteria:\n\n* Neck or spinal symptoms\n* History of cervical\u002Fspinal trauma or surgery\n* Chronic conditions affecting mobility\n* Visual or vestibular impairments",true,"ALL","18 Years",{"count":20,"type":21},74,"ESTIMATED","OBSERVATIONAL","This observational study evaluates cervical proprioception using a computer vision-based system developed with OpenCV and MediaPipe. Healthy adults will perform a series of head movements while their nose tip is tracked by a camera. The primary objective is to assess the accuracy of neck position and movement perception. Data will be analyzed to determine the reliability of the tracking system. The study is non-invasive, involves no interventions, and poses minimal risk to participants. Findings may support the development of accessible diagnostic tools for clinical and research applications.",[25],"Cervical Proprioception",[27,28],"Proprioception","Computer-Assisted Image Interpretation","NOT_YET_RECRUITING","2025-09-18",{"date":32,"type":33},"2025-09-24","ACTUAL",{"date":35,"type":21},"2025-09",{"date":37,"type":21},"2026-04",{"name":39,"class":40},"Nevsehir Haci Bektas Veli University","OTHER"]