一种用于物联网和机器人的肌电传感器的验证

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI:10.1109/ICEEE.2018.8533972

A. González-Mendoza, A. Pérez-Sanpablo, R. López-Gutíerrez, I. Quiñones-Urióstegui

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引用次数: 8

摘要

本文描述了一种拟议的肌电信号传感器的构建，该传感器旨在作为未来在物联网(IoT)和外骨骼技术领域应用的工作。随后，本工作将提出的传感器与商业临床使用的肌电信号传感器(Biometrics of Biometrics Ltd.)进行比较。英国和爱尔兰Shimmer Sensing的Shimmer 3)基于信噪比(SNR)，该信噪比是通过两种不同的方法计算的。实验结果表明，biometics和Shimmer 3传感器的信噪比在20dB左右，而该传感器的信噪比在11dB ~ 18dB之间。然后，它表明所提出的传感器在物联网(通过解释肌肉活动来操纵家用设备)或机器人等技术中的应用是可行的，但不适合涉及受试者肌肉骨骼监测或诊断的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Validation of an EMG sensor for Internet of Things and Robotics

This paper describes the construction of a proposed EMG sensor which is intended as a future work to apply in the field of technology of Internet of Things (IoT) and exoskeletons. Subsequently, this work presents the validation of the proposed sensor compared with commercial clinical use EMG sensors (Biometrics of Biometrics Ltd. UK and Shimmer 3 of Shimmer Sensing, Ireland) based on Signal to Noise Ratio (SNR) that is being calculated by two different methods. The obtained results from the experimentation show that the sensors Biometrics and Shimmer 3 are around 20dB SNR while, the proposed sensor gets between 11dB and 18dB SNR. Then, it indicates that the proposed sensor is feasible for the application in technologies like IoT (for manipulating home devices through the interpretation of muscle activity) or robotics but is not suitable for applications that involve subjects musculoskeletal monitoring or diagnose.

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来源期刊

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

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