[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100567103":3},{"organization":4,"armGroups":7,"interventions":16,"overallOfficials":22,"centralContacts":27,"locations":36,"responsibleParty":61,"collaborators":63,"id":73,"slug":74,"hasResults":75,"nctId":76,"briefTitle":77,"officialTitle":77,"acronym":10,"eligibilityCriteria":78,"healthyVolunteers":75,"sex":79,"minAge":10,"maxAge":10,"enrollmentInfo":80,"targetDuration":83,"studyType":84,"phases":10,"briefSummary":85,"conditions":86,"keywords":88,"overallStatus":39,"whyStopped":10,"lastUpdateSubmitDate":97,"lastUpdatePostDateStruct":98,"startDateStruct":101,"completionDateStruct":103,"leadSponsor":105,"locationsCount":106},{"fullName":5,"class":6},"machineMD AG","INDUSTRY",[8,13],{"label":9,"type":10,"description":10,"interventionNames":11},"people with Parkinson's disease",null,[12],"Diagnostic Test: oculomotor and pupillary function assessment",{"label":14,"type":10,"description":10,"interventionNames":15},"Atypical parkinsonism",[12],[17],{"type":18,"name":19,"description":20,"armGroupLabels":21,"otherNames":10},"DIAGNOSTIC_TEST","oculomotor and pupillary function assessment","This is an exploratory open-label single-centre research project intended to collect data of PD patients in order to develop machine learning models for helping in the diagnosis and monitoring of PD. Each patient will have an initial visit and then a second visit after two weeks. The estimated duration of the study visit 1 is 3 hours, not taking into account the time for patient information and informed consent. The estimated duration of the study visit 2 is 2 hours. During these two visits, patients will undergo an MDS-UPDRS assessment, a neos examination, a standard manual ocular motor and pupil function examination, and gait assessment simultaneously with GaitQ senti and an IMU sensor placed on their back. In the two weeks separating the two visits, patient's gait will be monitored daily at home with GaitQ senti, where they will perform a daily TUG test comprising of 15 m walk, 5 sit to stand, and 5-minute walk. Healthy individuals data will be included from a previous study.",[14,9],[23],{"name":24,"affiliation":25,"role":26},"Konrad Weber, Prof. Dr. med.","University of Zurich","PRINCIPAL_INVESTIGATOR",[28,33],{"name":29,"role":30,"phone":31,"phoneExt":10,"email":32},"Ana Coito, Ph.D.","CONTACT","+41 (0)31 589 67 92","ana.coito@machinemd.com",{"name":34,"role":30,"phone":10,"phoneExt":10,"email":35},"Pia Massatsch, Ph.D.","pia.massatsch@machinemd.com",[37],{"facility":38,"status":39,"city":40,"state":41,"zip":42,"country":43,"countryCode":44,"cosmosGeoPoint":45,"geoPoint":50,"contacts":51},"University Hospital of Zurich","RECRUITING","Zurich","Canton of Zurich","8091","Switzerland","CH",{"type":46,"coordinates":47},"Point",[48,49],8.55,47.36667,{"lat":49,"lon":48},[52,55,58,59],{"name":24,"role":30,"phone":53,"phoneExt":10,"email":54},"+41 44 255 55 49","Konrad.Weber@usz.ch",{"name":56,"role":30,"phone":10,"phoneExt":10,"email":57},"Erika Han, MD","erika.han@usz.ch",{"name":24,"role":26,"phone":10,"phoneExt":10,"email":10},{"name":56,"role":60,"phone":10,"phoneExt":10,"email":10},"SUB_INVESTIGATOR",{"type":62,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[64,66,68,70],{"name":25,"class":65},"OTHER",{"name":67,"class":65},"University Hospital, Zürich",{"name":69,"class":65},"University of Exeter",{"name":71,"class":72},"gaitQ Limited","UNKNOWN","100567103","development-of-digital-diagnostic-devices-for-parkinsons-disease-100567103",false,"NCT06663826","Development of Digital Diagnostic Devices for Parkinson's Disease","Inclusion Criteria:\n\n* Diagnosis of Parkinson's disease or of another parkinsonian syndrome (atypical Parkinson's)\n* Refractive error between -6 and +4 diopters, on both eyes\n* Informed consent by participant documented per signature\n* Able to self-report history of daily gait freezing and\u002For festination\n* Able to walk unsupported or using an aid for at least 5 minutes and if over 69 used to carrying out this level of exercise\n\nExclusion Criteria:\n\n* Other known neurological diseases\n* Current medication\u002Fdrugs that could potentially influence performance in ocular motor tasks and\u002For compliance in the judgement of the investigator (e.g. benzodiazepines, alcohol, stimulants, or recreational drugs) - except Parkinson's medications\n* Incapacity to understand and comply with the examination (e.g. due to advanced cognitive decline, failure to comply with easy experimental instructions and tasks)\n* Any injury or disorder that may affect eye movement measurements or balance (other than Parkinson's or referring primary condition)\n* Any skin conditions or broken skin in the calf and behind the knee area\n* Lack of access or limited connectivity to WiFi in home setting","ALL",{"count":81,"type":82},100,"ESTIMATED","15 Days","OBSERVATIONAL","In this project, ocular motor, pupil and gait data in people with Parkinson's disease (PD) will be collected in order to develop machine learning models for the diagnosis and monitoring of PD. With this, the investigators aim to advance the state of the art in PD diagnosis and monitoring. By integrating the principles of machine learning with high-quality sensor data, more accurate and earlier diagnosis could potentially be achieved. Ocular motor and pupil data will be collected with the standard clinical examination and with neos, a medical device approved for objective ocular motor and pupil measurement. Gait will be collected using an IMU sensor and GaitQ senti, a consumer device that allows for an objective and continuous remote gait monitoring.",[87],"Parkinson Disease",[89,90,91,92,93,94,95,96],"Parkinson's disease","oculomotor","ocular motor","gait","eye movements","pupil","virtual reality headset","eye tracking","2025-10-02",{"date":99,"type":100},"2025-10-07","ACTUAL",{"date":102,"type":100},"2024-10-01",{"date":104,"type":82},"2026-06-30",{"name":5,"class":6},1]