Academic Journal
NeuroSkin®: AI-Driven Wearable Functional Electrical Stimulation for Post-Stroke Gait Recovery-A Multicenter Feasibility Study.
| Τίτλος: | NeuroSkin®: AI-Driven Wearable Functional Electrical Stimulation for Post-Stroke Gait Recovery-A Multicenter Feasibility Study. |
|---|---|
| Συγγραφείς: | Metani A; Kurage, 69007 Lyon, France.; Laboratoire de Physique, École Normale Supérieure (ENS) de Lyon, Université Claude Bernard Lyon 1, Université de Lyon (UdL), Centre National de la Recherche Scientifique (CNRS), 69007 Lyon, France., Popović-Maneski L; Kurage, 69007 Lyon, France.; Institute of Technical Sciences of SASA, Knez Mihailova 35/IV, 11000 Belgrade, Serbia., Seguin P; Kurage, 69007 Lyon, France., Di Marco J; Centre de Soins de Suite et de Réadaptation du Val Rosay, 69370 Saint-Didier au Mont d'Or, France. |
| Πηγή: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Sep 09; Vol. 25 (18). Date of Electronic Publication: 2025 Sep 09. |
| Τύπος έκδοσης: | Journal Article; Multicenter Study |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Basel, Switzerland : MDPI, c2000- |
| Ιατρικοί όροι (MeSH): | Stroke Rehabilitation*/methods , Stroke*/physiopathology , Stroke*/therapy , Gait*/physiology , Electric Stimulation Therapy*/methods , Wearable Electronic Devices*, Recovery of Function/physiology ; Humans ; Male ; Female ; Middle Aged ; Feasibility Studies ; Aged ; Retrospective Studies ; Artificial Intelligence ; Electric Stimulation |
| Περίληψη: | (1) Background: Functional Electrical Stimulation (FES) is a recognized method for post-stroke gait rehabilitation but remains underutilized due to workflow complexity and the need for manual configuration. NeuroSkin®, a wearable FES system integrating AI-driven stimulation and sensor-based gait monitoring, was developed to streamline clinical use by automating phase-specific, multi-muscle stimulation. (2) Methods: This retrospective multicenter feasibility study evaluated the integration of NeuroSkin® into routine inpatient rehabilitation. Fifteen subacute stroke patients across seven centers underwent 10 to 20 FES-assisted gait training sessions. Standardized assessments (10MWT, 6MWT, TUG, NFAC) were performed pre- and post-intervention. Therapists completed the System Usability Scale (SUS) questionnaire. (3) Results: All outcomes showed statistically significant improvement: walking speed and endurance increased by 70% and 171% respectively, TUG time decreased by 39%, and ambulation level improved by three NFAC categories. No adverse events were reported, and usability was rated as excellent (mean SUS score: 84.6). (4) Conclusions: NeuroSkin® was safely and effectively implemented in diverse clinical settings, demonstrating strong usability and promising functional benefits. These findings support the need for prospective controlled trials to confirm its clinical efficacy and broader applicability in stroke rehabilitation. |
| References: | J Rehabil Assist Technol Eng. 2019 Sep 03;6:2055668319862141. (PMID: 31516730) Implement Sci. 2017 Aug 29;12(1):108. (PMID: 28851459) Int J Stroke. 2022 Jan;17(1):18-29. (PMID: 34986727) Clin Rehabil. 2002 Jun;16(4):350-60. (PMID: 12061468) Front Neurol. 2023 Dec 08;14:1272992. (PMID: 38145118) J Neuroeng Rehabil. 2020 Mar 25;17(1):46. (PMID: 32213196) Front Neurosci. 2016 Sep 16;10:425. (PMID: 27695397) N Engl J Med. 2005 Apr 21;352(16):1677-84. (PMID: 15843670) J Am Geriatr Soc. 1991 Feb;39(2):142-8. (PMID: 1991946) J Spinal Cord Med. 1996 Apr;19(2):99-105. (PMID: 8732878) IEEE Robot Autom Lett. 2021 Apr;6(2):3491-3497. (PMID: 34616899) Scand J Rehabil Med. 1978;10(2):75-92. (PMID: 307813) J Rehabil Med. 2025 May 26;57:jrm42638. (PMID: 40420401) J Neuroeng Rehabil. 2024 Sep 18;21(1):164. (PMID: 39294678) Am J Respir Crit Care Med. 2002 Jul 1;166(1):111-7. (PMID: 12091180) Cochrane Database Syst Rev. 2006 Apr 19;(2):CD003241. (PMID: 16625574) J Am Geriatr Soc. 2006 May;54(5):743-9. (PMID: 16696738) Muscle Nerve. 2007 May;35(5):562-90. (PMID: 17299744) J Rehabil Med. 2016 Oct 5;48(8):646-656. (PMID: 27563700) Ann Phys Rehabil Med. 2021 Jan;64(1):101388. (PMID: 32376404) J Rehabil Med. 2012 Jan;44(1):51-7. (PMID: 22124679) Phys Ther. 1989 May;69(5):319-27. (PMID: 2785273) PLoS One. 2016 Jun 07;11(6):e0156726. (PMID: 27271533) J Neurophysiol. 2019 Jul 1;122(1):350-357. (PMID: 31141442) IEEE Int Conf Rehabil Robot. 2025 May;2025:1724-1731. (PMID: 40644263) Proc Natl Acad Sci U S A. 2021 Sep 28;118(39):. (PMID: 34544853) J Rehabil Med. 2005 Mar;37(2):75-82. (PMID: 15788341) Arch Phys Med Rehabil. 2015 May;96(5):934-43. (PMID: 25634620) J Neuroeng Rehabil. 2025 Mar 18;22(1):62. (PMID: 40102928) |
| Grant Information: | 451-03-136/2025-03/200175 Serbian Ministry of Science and Research |
| Contributed Indexing: | Keywords: Artificial Intelligence (AI); Functional Electrical Stimulation (FES); clinical feasibility; gait rehabilitation; personalized rehabilitation; sensor-based therapy; stroke; wearable neurotechnology |
| Entry Date(s): | Date Created: 20250927 Date Completed: 20250927 Latest Revision: 20250930 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC12473186 |
| DOI: | 10.3390/s25185614 |
| PMID: | 41012853 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1424-8220 |
|---|---|
| DOI: | 10.3390/s25185614 |