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SmartRehab: Enhancing Stroke Recovery through Automated Telerehabilitation (P7-14.011)

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dc.contributor.author Velez, Faddi Saleh
dc.contributor.author Yeung, Elton
dc.contributor.author Bonin Pinto, Camila
dc.contributor.author Ling, Tsei Mei
dc.contributor.author Alet, Matías Javier
dc.contributor.author Carbonera, Leonardo
dc.contributor.author Ciopleias, Bogdan
dc.contributor.author khan, Abdul
dc.contributor.author Law, Zhe Kang
dc.contributor.author Lotlikar, Radhika
dc.contributor.author Liu, Roxanna
dc.contributor.author So, Adrian
dc.contributor.author Chan, Yin
dc.contributor.author Poon, Gloria
dc.contributor.author Boada Robayo, Laura
dc.contributor.author Rudyk, Demian
dc.contributor.author Kiper, Pawel
dc.contributor.author Yabluchanskiy, Andriy
dc.contributor.author Savitz, Sean
dc.contributor.author Luo, Louis
dc.date.accessioned 2026-02-12T14:52:19Z
dc.date.available 2026-02-12T14:52:19Z
dc.date.issued 2025-04-07
dc.identifier.citation Velez FS, Yeung E, Pinto CB, Ling TM, Alet M, Carbonera L, et al. SmartRehab: Enhancing Stroke Recovery through Automated Telerehabilitation (P7-14.011). Neurology. 8 de abril de 2025;104(7_Supplement_1):5047 es_ES
dc.identifier.uri https://doi.org/10.1212/WNL.0000000000212097
dc.identifier.uri https://repositorio.fleni.org.ar/xmlui/handle/123456789/1480
dc.description.abstract Objective: We tested the SmartRehab efficacy, usability, and feasibility for stroke rehabilitation across seven countries. Background: Stroke is a major cause of disability worldwide. Timely and personalized rehabilitation is critical for recovery, yet current methods are limited by medical shortages, overwhelmed healthcare systems, and insurance constraints. Telerehabilitation has emerged as a promising solution to address these gaps. The SmartRehab app, developed to tackle these issues, uses an Artificial Intelligence powered, computer vision-based pose estimation algorithm to track patient movements, providing precise performance assessment, immediate feedback, and tailored adjustments. The app operates autonomously, allowing patients to complete sessions without a physical therapist (PT) being present, while a single PT can remotely track progress and monitor dozens of patients offline at their convenience. Design/Methods: This ongoing prospective single-arm international multicenter study spans four continents, testing SmartRehab's feasibility and efficacy for post-stroke motor disability. Participants enrolled receive a 4-week automated telerehabilitation program, prescribed by PTs using the SmartRehab platform. Motor improvements are assessed with the Fugl-Meyer Assessment (FMA) for upper and lower extremities. Usability and satisfaction are measured using the Telehealth Usability Questionnaire (TUQ). Results: This ongoing multicenter study has enrolled 30 subjects to date, with 15 stroke survivors completing telerehabilitation (mean age 57.6±16.97; 75% male). Preliminary analysis of patients with complete FMA (n=11) revealed a statistically significant improvement in upper extremity motor function (mean change [Baseline-Follow-up: −10.8±6.8; p<0.001]) and a trend toward improvement in lower extremities (mean change: −4.571±4.9; p=0.052). Usability feedback showed high ratings on TUQ (1-poor,7-great, mean 5.87±1.1). Therapists reported high satisfaction, ease of use, and benefits for patients, while adherence rates varied across countries (19%–95%, average 48%), with lower compliance linked to technology challenges Conclusions: SmartRehab is a feasible and effective telerehabilitation platform for stroke recovery, with high user satisfaction. Significant motor function improvements were observed. Addressing technological barriers may enhance adherence and outcome es_ES
dc.language.iso eng es_ES
dc.publisher Lippincott Williams & Wilkins es_ES
dc.subject Stroke Rehabilitation es_ES
dc.subject Rehabilitación de Accidente Cerebrovascular es_ES
dc.subject Telerehabilitation es_ES
dc.subject Telerrehabilitación es_ES
dc.title SmartRehab: Enhancing Stroke Recovery through Automated Telerehabilitation (P7-14.011) es_ES
dc.type Presentation es_ES
dc.description.fil Fil: Alet, Matías Javier. Fleni. Departamento de Neurología. Servicio de Neurología Vascular; Argentina.
dc.relation.ispartofVOLUME 104
dc.relation.ispartofNUMBER 7_Supplement_1
dc.relation.ispartofPAGINATION 5047
dc.relation.ispartofCOUNTRY Estados Unidos
dc.relation.ispartofCITY Hagerstown
dc.relation.ispartofTITLE Neurology
dc.relation.ispartofISSN 1526-632X
dc.type.snrd Presentation es_ES


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