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首页> 外文期刊>Journal of Rehabilitation and Assistive Technologies Engineering >A foot drop compensation device based on surface multi-field functional electrical stimulation—Usability study in a clinical environment
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A foot drop compensation device based on surface multi-field functional electrical stimulation—Usability study in a clinical environment

机译：基于表面多场功能电刺激可用性研究的脚下补偿装置在临床环境中

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Introduction Functional electrical stimulation applies electrical pulses to the peripheral nerves to artificially achieve a sensory/motor function. When applied for the compensation of foot drop it provides both assistive and therapeutic effects. Multi-field electrodes have shown great potential but may increase the complexity of these systems. Usability aspects should be checked to ensure their success in clinical environments. Methods We developed the Fesia Walk device, based on a surface multi-field electrode and an automatic calibration algorithm, and carried out a usability study to check the feasibility of integrating this device in therapeutic programs in clinical environments. The study included 4 therapists and 10 acquired brain injury subjects (8 stroke and 2 traumatic brain injury). Results Therapists and users were “very satisfied” with the device according to the Quebec User Evaluation of Satisfaction with Assistive Technology scale, with average scores of 4.1 and 4.2 out of 5, respectively. Therapists considered the Fesia Walk device as “excellent” according to the System Usability Scale with an average score of 85.6 out of 100. Conclusions This study showed us that it is feasible to include surface multi-field technology while keeping a device simple and intuitive for successful integration in common neurorehabilitation programs.
机译：简介功能电刺激将电脉冲施加到外周神经以人工达到感觉/电机功能。当申请脚下降补偿时，它提供了辅助和治疗效果。多场电极显示出很大的潜力，但可能会增加这些系统的复杂性。应检查可用性方面，以确保其在临床环境中的成功。方法采用基于表面多场电极和自动校准算法开发了FESIA行走装置，并进行了可用性研究，以检查将该装置在临床环境中的治疗程序中整合到临床环境中的可行性。该研究包括4个治疗师和10个获得的脑损伤受试者（8次脑卒中和2个创伤性脑损伤）。结果治疗师和用户根据魁北克用户评估对辅助技术规模的满意度，平均得分分别为4.1和4.2分，分别为5.1和4.2分。治疗师认为FESIA步行装置根据系统可用性规模的“优秀”，平均得分为100％，其中该研究表明，包括在保持设备简单直观的同时包括表面多场技术是可行的成功集成在共同的神经阵容方案中。

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