基于智能肌电图的腿部肌肉收缩评估袜子

A. Leone, G. Rescio, L. Giampetruzzi, P. Siciliano
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引用次数: 8

摘要

表面肌电图(sEMG)在医疗保健领域的预防、诊断和康复中发挥着越来越重要的作用。在这种情况下,对肌肉产生的电位进行连续监测似乎可以有效地快速检测异常事件。肌电图技术的最新进展使得基于肌电图的可穿戴设备的低侵入性和可靠性得以发展。这些设备促进长期监测,但它们通常非常昂贵,不容易适当定位。此外,他们使用的一次性预凝胶电极会导致皮肤发红。为了克服这些问题,一种新型智能袜子的原型已经实现。它能检测到来自腿部腓肠肌-胫肌的肌电图信号。这些肌肉似乎与评估年龄相关的步态变化、肌肉减少症病理、姿势异常、跌倒风险等有关。开发的袜子是微创的,重量轻,可以通过低功耗蓝牙连接发送数据。此外,它们配备了可重复使用的可拉伸和非粘性混合聚合物电解质电极,具有高生物相容性。在论文中,它被描述为一个案例研究,使用袜子来检测跌倒的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart EMG-based Socks for Leg Muscles Contraction Assessment
Surface electromyography (sEMG) increasingly plays an important role for prevention, diagnosis and rehabilitation in healthcare field. In this context, the continuous monitoring of the electrical potentials produced by muscles appears to be effective to detect abnormal events in a fast way. The recent progresses in EMG technologies have allowed for the development of low invasive and reliable EMG-based wearable device. These devices promote long-term monitoring, however they are often very expensive and not easy to be positioned appropriately. Moreover they use mono-use pre-gelled electrodes that can cause skin redness. To overcome the issues, a prototype of a new smart sock has been realized. It detects EMG signals coming from the Gastrocnemius-Tibialis muscles of the leg. Such muscles appear relevant for assessment of age-related changes in gait, sarcopenia pathology, postural anomalies, fall risk, etc. The developed socks are minimally invasive, lightweight and can send the data through a Bluetooth low energy connection. Moreover, they are equipped with reusable stretchable and non adhesive hybrid polymer electrolytes-based electrodes for high biocompatibility. In the paper it has been described, as a case study, the use of the socks to detect the risk of falling.
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