Thorsen Rune, Ferrarin Maurizio
IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro 66, 20148 Milano, Italy.
Sensors (Basel). 2025 May 23;25(11):3282. doi: 10.3390/s25113282.
This paper presents a wearable, open-source system that combines electromyography (EMG) and functional electrical stimulation (FES) to restore hand function in individuals with disabilities caused by cervical spinal cord injuries or stroke. The device captures electrical signals produced during volitional muscle contractions and analyzes them to interpret the user's intent to move. This information is then used to stimulate impaired muscles, promoting improved hand function and rehabilitation. We detail the design, prototyping, and testing of the system, emphasizing its modularity, affordability, and accessibility. Hardware and software, along with 3D-printable components, are shared via GitHub to enable replication and customization by professionals and makers. The system serves as both an orthotic device for enhancing grasping ability and a therapeutic tool for rehabilitating hemiparetic hands, with potential for broader applications. By addressing cost, customization, and accessibility barriers, this initiative promotes collaboration and further innovation in rehabilitation technologies, advancing the development of affordable, user-centered solutions for individuals with disabilities.
本文介绍了一种可穿戴的开源系统,该系统结合了肌电图(EMG)和功能性电刺激(FES),以恢复因颈脊髓损伤或中风导致残疾的个体的手部功能。该设备捕捉自主肌肉收缩过程中产生的电信号,并对其进行分析以解读用户的运动意图。然后,这些信息被用于刺激受损肌肉,促进手部功能改善和康复。我们详细介绍了该系统的设计、原型制作和测试,强调了其模块化、可承受性和可及性。硬件、软件以及3D可打印组件通过GitHub共享,以便专业人员和创客进行复制和定制。该系统既作为增强抓握能力的矫形器械,又作为偏瘫手康复的治疗工具,具有更广泛的应用潜力。通过解决成本、定制和可及性障碍,该倡议促进了康复技术领域的合作与进一步创新,推动了为残疾人开发经济实惠、以用户为中心的解决方案。