[{"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":10,"hasResults":61,"nctId":62,"briefTitle":63,"officialTitle":64,"acronym":10,"eligibilityCriteria":65,"healthyVolunteers":66,"sex":67,"minAge":68,"maxAge":10,"enrollmentInfo":69,"targetDuration":10,"studyType":72,"phases":10,"briefSummary":73,"conditions":74,"keywords":76,"overallStatus":40,"whyStopped":10,"lastUpdateSubmitDate":83,"lastUpdatePostDateStruct":84,"startDateStruct":87,"completionDateStruct":89,"leadSponsor":91,"locationsCount":92},{"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",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":70,"type":71},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",[75],"Stroke",[75,77,78,79,80,81,82],"Device Studies","Noninvasive Procedures","Device Feasibility","Inpatient Rehabilitation","Sensors","Machine Learning","2025-12-19",{"date":85,"type":86},"2025-12-29","ACTUAL",{"date":88,"type":86},"2017-10-31",{"date":90,"type":71},"2026-12",{"name":5,"class":6},1]