[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100644424":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":21,"locations":30,"responsibleParty":50,"collaborators":52,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":60,"acronym":61,"eligibilityCriteria":62,"healthyVolunteers":57,"sex":63,"minAge":64,"maxAge":65,"enrollmentInfo":66,"targetDuration":20,"studyType":69,"phases":70,"briefSummary":72,"conditions":73,"keywords":75,"overallStatus":81,"whyStopped":20,"lastUpdateSubmitDate":82,"lastUpdatePostDateStruct":83,"startDateStruct":86,"completionDateStruct":88,"leadSponsor":90,"locationsCount":91},{"fullName":5,"class":6},"IRCCS Eugenio Medea","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Real-Time Engagement Monitoring","EXPERIMENTAL","Participants in this experimental arm, consisting of pediatric patients with neuromotor impairments, will undergo a single 1-hour technology-assisted rehabilitation session using either the Lokomat or GRAIL system. During the session, the physiotherapist will use a display showing real-time outputs from the AI-based model, including the patient's heart rate, engagement levels, pleasantness, activation, and motor performance. The model acts as an observational support tool and will not directly alter the standard rehabilitation protocol. At the end of the session, the physiotherapist will evaluate the usability of the system.",[13],"Device: Artificial Intelligence Model for Rehabilitation Engagement Monitoring",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"DEVICE","Artificial Intelligence Model for Rehabilitation Engagement Monitoring","The intervention consists of the deployment of a real-time AI-based monitoring system during a standard technology-assisted rehabilitation session. The physiotherapist is provided with a display showing continuous feedback on the patient's engagement levels, emotional state (pleasantness and activation), motor performance, and heart rate. The model processes physiological and inertial data collected via wearable sensors, acting purely as an observational support tool without altering the standard rehabilitation protocol.",[9],null,[22,27],{"name":23,"role":24,"phone":25,"phoneExt":20,"email":26},"Fabio Alexander Storm, PhD","CONTACT","+39 031877111","fabio.storm@lanostrafamiglia.it",{"name":28,"role":24,"phone":20,"phoneExt":20,"email":29},"Simone Costantini, MSc","simone.costantini@lanostrafamiglia.it",[31],{"facility":32,"status":20,"city":33,"state":20,"zip":34,"country":35,"countryCode":36,"cosmosGeoPoint":37,"geoPoint":42,"contacts":43},"Scientific Institute IRCCS E.Medea","Bosisio Parini","23842","Italy","IT",{"type":38,"coordinates":39},"Point",[40,41],9.29,45.80075,{"lat":41,"lon":40},[44,45,48],{"name":23,"role":24,"phone":25,"phoneExt":20,"email":26},{"name":46,"role":24,"phone":25,"phoneExt":20,"email":47},"Emilia Biffi, PhD","emilia.biffi@lanostrafamiglia.it",{"name":28,"role":49,"phone":20,"phoneExt":20,"email":20},"SUB_INVESTIGATOR",{"type":51,"investigatorFullName":20,"investigatorTitle":20,"investigatorAffiliation":20,"oldNameTitle":20,"oldOrganization":20},"SPONSOR",[53],{"name":54,"class":6},"Politecnico di Milano","100644424","ai-based-model-for-rehabilitation-engagement-and-motor-performance-evaluation-in-pediatric-patients-a-pilot-study-100644424",false,"NCT07664033","AI-based Model for Rehabilitation Engagement and Motor Performance Evaluation in Pediatric Patients: A Pilot Study","AI-based Model for Rehabilitation Engagement and Motor Performance Evaluation in Pediatric Patients","AI-REMAP","Inclusion Criteria:\n\n* Subjects aged between 5 and 17 years with neuromotor impairments who are undergoing rehabilitation therapy using the Lokomat and GRAIL devices, according to the existing clinical plan.\n\nExclusion Criteria:\n\n* Uncooperative subjects.","ALL","5 Years","17 Years",{"count":67,"type":68},15,"ESTIMATED","INTERVENTIONAL",[71],"NA","What is the purpose of this study? This study aims to evaluate the usability and feasibility of an artificial intelligence-based model designed to monitor in real-time the engagement and motor performance of pediatric patients during technology-assisted rehabilitation.\n\nWho can take part? 15 participants between 5 and 17 years old with neuromotor impairments will take part, along with at least 5 of their referring physiotherapists.\n\nWhat will happen in the study? Each pediatric patient will take part in a single, 1-hour rehabilitation session using either the Lokomat or GRAIL system, according to their standard clinical prescription. During the session, the physiotherapist will have access to a display showing real-time data from the AI model, including the patient's heart rate, engagement level, pleasantness, activation, and motor performance. At the end of the session, the physiotherapist will complete a System Usability Scale (SUS) questionnaire and provide direct feedback on how to improve the model.\n\nWhy is this study important? Assessing the usability of this real-time monitoring tool is a necessary step to understand if it is practical for clinical use. Providing therapists with objective, real-time insights into a child's psychological and physical state can ultimately help tailor therapy to the specific needs of each patient, improving the overall rehabilitation experience.",[74],"Neuromotor Impairments",[76,77,74,78,79,80],"Engagement","Pediatric Rehabilitation","Gait","Heart Rate Variability","Electrodermal Activity","NOT_YET_RECRUITING","2026-06-17",{"date":84,"type":85},"2026-06-23","ACTUAL",{"date":87,"type":68},"2026-06-15",{"date":89,"type":68},"2026-09-30",{"name":5,"class":6},1]