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Smart EMG-based Socks for Leg Muscles Contraction Assessment

机译:基于智能肌电图的腿部肌肉收缩评估袜子

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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.
机译:表面肌电图(sEMG)在医疗保健领域的预防,诊断和康复中起着越来越重要的作用。在这种情况下,对肌肉产生的电势的连续监视似乎对快速检测异常事件有效。 EMG技术的最新进展允许开发低侵入性和可靠的基于EMG的可穿戴设备。这些设备促进了长期监控,但是它们通常非常昂贵,而且不容易正确放置。此外,他们使用一次性使用的预凝胶电极,会导致皮肤发红。为了克服这些问题,已经实现了新型智能袜子的原型。它检测到来自腿的腓肠肌-胫骨肌的EMG信号。这些肌肉似乎与评估步态,肌肉减少症,姿势异常,跌倒风险等与年龄相关的变化有关。发达的袜子具有微创,轻便的特性,可以通过蓝牙低能耗连接发送数据。此外,它们还配备了可重复使用的可拉伸且非粘性混合聚合物电解质基电极,以实现高生物相容性。作为案例研究,在本文中描述了使用袜子检测跌倒的风险。

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