[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100379368":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":24,"centralContacts":29,"locations":38,"responsibleParty":58,"collaborators":10,"id":60,"slug":61,"hasResults":62,"nctId":63,"briefTitle":64,"officialTitle":65,"acronym":10,"eligibilityCriteria":66,"healthyVolunteers":67,"sex":68,"minAge":69,"maxAge":10,"enrollmentInfo":70,"targetDuration":10,"studyType":73,"phases":10,"briefSummary":74,"conditions":75,"keywords":77,"overallStatus":40,"whyStopped":10,"lastUpdateSubmitDate":84,"lastUpdatePostDateStruct":85,"startDateStruct":88,"completionDateStruct":90,"leadSponsor":92,"locationsCount":93},{"fullName":5,"class":6},"Shirley Ryan AbilityLab","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Patient Group",null,"Individuals diagnosed with stroke admitted to the Shirley Ryan AbilityLab (inpatient), or individuals in the community who had a stroke (chronic)",[13],"Diagnostic Test: Wearable sensors",{"label":15,"type":10,"description":16,"interventionNames":17},"Healthy Control Group","Individuals without any known significant health problems",[13],[19],{"type":20,"name":21,"description":22,"armGroupLabels":23,"otherNames":10},"DIAGNOSTIC_TEST","Wearable sensors","Utilizing wireless wearable sensors, to capture quantitative biometric and movement-based data.",[15,9],[25],{"name":26,"affiliation":27,"role":28},"Arun Jayaraman, PT, PhD","Study Principal Investigator","PRINCIPAL_INVESTIGATOR",[30,34],{"name":26,"role":31,"phone":32,"phoneExt":10,"email":33},"CONTACT","3122386875","a-jayaraman@northwestern.edu",{"name":35,"role":31,"phone":36,"phoneExt":10,"email":37},"Sara Prokup, PT, DPT","3122381355","sprokup@ricres.org",[39],{"facility":5,"status":40,"city":41,"state":42,"zip":43,"country":44,"countryCode":45,"cosmosGeoPoint":46,"geoPoint":51,"contacts":52},"RECRUITING","Chicago","Illinois","60611","United States","US",{"type":47,"coordinates":48},"Point",[49,50],-87.65005,41.85003,{"lat":50,"lon":49},[53,56],{"name":54,"role":31,"phone":55,"phoneExt":10,"email":37},"Sara Prokup, DPT","312-238-1355",{"name":57,"role":28,"phone":10,"phoneExt":10,"email":10},"Arun Jayaraman, PT,PhD",{"type":28,"investigatorFullName":26,"investigatorTitle":59,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Director, Max Nader Center for Rehabilitation Technologies & Outcomes Research","100379368","inpatient-stroke-recovery-using-sensors-100379368",false,"NCT04219670","Inpatient Stroke Recovery Using Sensors","Wearable Sensor Platform to Monitor Stroke Recovery During Inpatient Rehabilitation","Inclusion Criteria:\n\n* Patient group\n\n  * Individuals diagnosed with stroke admitted to the Shirley Ryan AbilityLab (inpatient), or individuals in the community who had a stroke (chronic)\n  * Age 18 or older\n  * Able and willing to give written consent and comply with study procedures\n* Healthy control group\n\n  * Individuals without any known significant health problem (healthy controls)\n  * Age 18 or older\n  * Able and willing to give written consent and comply with study procedures\n\nExclusion Criteria:\n\n* Patient group\n\n  * Neurological degenerative pathologies as co-morbidities (such as multiple sclerosis, Alzheimer's disease, Parkinson's disease, etc.)\n  * Pregnant or nursing\n  * Skin allergies or irritation; open wounds\n  * Utilizing a powered, implanted cardiac device for monitoring or supporting heart function (i.e. pacemaker, defibrillator, or LVAD)\n* Healthy control group\n\n  * No known history of cerebrovascular accidents or neurological degenerative pathologies (such as multiple sclerosis, Alzheimer's disease, Parkinson's disease, etc.)\n  * Pregnant or nursing\n  * Skin allergies or irritation; open wounds\n  * Utilizing a powered, implanted cardiac device for monitoring or supporting heart function (i.e. pacemaker, defibrillator, or LVAD)",true,"ALL","18 Years",{"count":71,"type":72},400,"ESTIMATED","OBSERVATIONAL","This observational trial seeks to assess the feasibility of using non-invasive, portable, real-time body-worn sensors to continuously monitor, quantify, and interpret recovery during inpatient treatment of stroke",[76],"Stroke",[76,78,79,80,81,82,83],"Device Studies","Noninvasive Procedures","Device Feasibility","Inpatient Rehabilitation","Sensors","Machine Learning","2025-12-19",{"date":86,"type":87},"2025-12-29","ACTUAL",{"date":89,"type":87},"2017-10-31",{"date":91,"type":72},"2026-12",{"name":5,"class":6},1]