Triwiyanto Triwiyanto, Wakidi Levana Forra, Pawana I Putu Alit
Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia.
Intelligent Medical Rehabilitation Devices Research Group, Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia.
HardwareX. 2025 Jun 14;23:e00665. doi: 10.1016/j.ohx.2025.e00665. eCollection 2025 Sep.
The paper addresses the significant challenge of limited accessibility and high costs associated with commercial exoskeletons for hand rehabilitation, particularly for individuals with low to middle incomes. The aim of this study is to design and develop a low-cost, 3D-printed hand exoskeleton that integrates force sensor technology, providing a more adaptable solution for rehabilitation. The methodology involves creating a prototype that combines 3D printing with real-time monitoring of upper limb (elbow) movements and forces, ensuring personalized treatment for patients. The design incorporates a lightweight structure, powered by a rechargeable LiPo battery, and utilizes mini ESP32 microcontrollers to collect the sensor parameters and drive the servo motor, enhancing user experience and functionality. Results indicate that the proposed exoskeleton significantly reduces costs to approximately 98.4 US$ per unit, compared to existing products priced above 1,500 USD. The mean root mean square error (RMSE) for the exoskeleton's finger movements was measured at 0.498° ± 0.709°, demonstrating high accuracy in tracking hand movements. The mean linearity error of load cell across all data points was 0.2292 %. These results indicate that the load cell maintains good linearity and accuracy within the calibrated range, and is suitable for precise force measurements in static applications. Additionally, the integration of force sensors allows for precise feedback during rehabilitation exercises, promoting better outcomes. The study concludes that this innovative approach not only makes hand rehabilitation more accessible but also encourages further research and development in the field. By providing an open-source design, the research fosters collaboration among researchers and developers, paving the way for future enhancements and adaptations of the exoskeleton to meet diverse patient needs. Overall, this work contributes to advancing rehabilitation technology, ultimately improving the quality of life for individuals recovering from neuromuscular disorders.
本文探讨了与用于手部康复的商用外骨骼相关的可及性有限和成本高昂这一重大挑战,尤其是对于中低收入人群而言。本研究的目的是设计并开发一种集成了力传感器技术的低成本3D打印手部外骨骼,为康复提供一种更具适应性的解决方案。该方法包括创建一个将3D打印与上肢(肘部)运动和力的实时监测相结合的原型,确保为患者提供个性化治疗。该设计采用了轻质结构,由可充电的锂聚合物电池供电,并利用微型ESP32微控制器收集传感器参数并驱动伺服电机,从而提升用户体验和功能。结果表明,与价格超过1500美元的现有产品相比,所提出的外骨骼将成本显著降低至约每单位98.4美元。该外骨骼手指运动的平均均方根误差(RMSE)测量值为0.498°±0.709°,表明在跟踪手部运动方面具有高精度。所有数据点上称重传感器的平均线性误差为0.2292%。这些结果表明,称重传感器在校准范围内保持良好的线性度和精度,适用于静态应用中的精确力测量。此外,力传感器的集成允许在康复训练期间进行精确反馈,从而促进更好的效果。该研究得出结论,这种创新方法不仅使手部康复更易于实现,还鼓励了该领域的进一步研究和开发。通过提供开源设计,该研究促进了研究人员和开发人员之间的合作,为外骨骼未来的改进和调整以满足不同患者需求铺平了道路。总体而言,这项工作有助于推进康复技术,最终改善从神经肌肉疾病中康复的个体的生活质量。