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NeuroSkin:用于中风后步态恢复的人工智能驱动可穿戴功能性电刺激——一项多中心可行性研究。

NeuroSkin: AI-Driven Wearable Functional Electrical Stimulation for Post-Stroke Gait Recovery-A Multicenter Feasibility Study.

作者信息

Metani Amine, Popović-Maneski Lana, Seguin Perrine, Di Marco Julie

机构信息

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.

出版信息

Sensors (Basel). 2025 Sep 9;25(18):5614. doi: 10.3390/s25185614.

Abstract

(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.

摘要

(1)背景:功能性电刺激(FES)是一种公认的中风后步态康复方法,但由于工作流程复杂且需要手动配置,其使用率仍然较低。NeuroSkin是一种可穿戴FES系统,集成了人工智能驱动的刺激和基于传感器的步态监测功能,旨在通过自动进行特定阶段的多肌肉刺激来简化临床应用。(2)方法:这项回顾性多中心可行性研究评估了NeuroSkin在常规住院康复中的整合情况。七个中心的15名亚急性中风患者接受了10至20次FES辅助步态训练课程。在干预前后进行了标准化评估(10米步行试验、6分钟步行试验、定时起立步行试验、神经功能步行能力分类)。治疗师完成了系统可用性量表(SUS)问卷。(3)结果:所有结果均显示出统计学上的显著改善:步行速度和耐力分别提高了70%和171%,定时起立步行试验时间减少了39%,步行水平提高了三个神经功能步行能力分类等级。未报告不良事件,可用性被评为优秀(平均SUS得分:84.6)。(4)结论:NeuroSkin在不同临床环境中得到了安全有效的应用,显示出强大的可用性和有前景的功能益处。这些发现支持进行前瞻性对照试验以确认其在中风康复中的临床疗效和更广泛适用性的必要性。

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