An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications

In recent years, the surface electromyography (EMG) signal has received a lot of attention. EMG signals are used to analyze muscle activity or to evaluate a patient’s muscle status. However, commercial surface EMG systems are expensive and have high power consumption. Therefore, the purpose of this...

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Main Authors:	Yi-Da Wu, Shanq-Jang Ruan, Yu-Hao Lee
Format:	article
Language:	EN
Published:	MDPI AG 2021
Subjects:	EMG acquisition system biosensor devices and interface circuit wireless transmission power consumption Biotechnology TP248.13-248.65
Online Access:	https://doaj.org/article/5cca4c9aa94e461c8e136b33bdb75c4c
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spelling	oai:doaj.org-article:5cca4c9aa94e461c8e136b33bdb75c4c2021-11-25T16:54:53ZAn Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications10.3390/bios111104112079-6374https://doaj.org/article/5cca4c9aa94e461c8e136b33bdb75c4c2021-10-01T00:00:00Zhttps://www.mdpi.com/2079-6374/11/11/411https://doaj.org/toc/2079-6374In recent years, the surface electromyography (EMG) signal has received a lot of attention. EMG signals are used to analyze muscle activity or to evaluate a patient’s muscle status. However, commercial surface EMG systems are expensive and have high power consumption. Therefore, the purpose of this paper is to implement a surface EMG acquisition system that supports high sampling and ultra-low power consumption measurement. This work analyzes and optimizes each part of the EMG acquisition circuit and combines an MCU with BLE. Regarding the MCU power saving method, the system uses two different frequency MCU clock sources and we proposed a ping-pong buffer as the memory architecture to achieve the best power saving effect. The measured surface EMG signal samples can be forwarded immediately to the host for further processing and additional application. The results show that the average current of the proposed architecture can be reduced by 92.72% compared with commercial devices, and the battery life is 9.057 times longer. In addition, the correlation coefficients were up to 99.5%, which represents a high relative agreement between the commercial and the proposed system.Yi-Da WuShanq-Jang RuanYu-Hao LeeMDPI AGarticleEMG acquisition systembiosensor devices and interface circuitwireless transmissionpower consumptionBiotechnologyTP248.13-248.65ENBiosensors, Vol 11, Iss 411, p 411 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	EMG acquisition system biosensor devices and interface circuit wireless transmission power consumption Biotechnology TP248.13-248.65
spellingShingle	EMG acquisition system biosensor devices and interface circuit wireless transmission power consumption Biotechnology TP248.13-248.65 Yi-Da Wu Shanq-Jang Ruan Yu-Hao Lee An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications
description	In recent years, the surface electromyography (EMG) signal has received a lot of attention. EMG signals are used to analyze muscle activity or to evaluate a patient’s muscle status. However, commercial surface EMG systems are expensive and have high power consumption. Therefore, the purpose of this paper is to implement a surface EMG acquisition system that supports high sampling and ultra-low power consumption measurement. This work analyzes and optimizes each part of the EMG acquisition circuit and combines an MCU with BLE. Regarding the MCU power saving method, the system uses two different frequency MCU clock sources and we proposed a ping-pong buffer as the memory architecture to achieve the best power saving effect. The measured surface EMG signal samples can be forwarded immediately to the host for further processing and additional application. The results show that the average current of the proposed architecture can be reduced by 92.72% compared with commercial devices, and the battery life is 9.057 times longer. In addition, the correlation coefficients were up to 99.5%, which represents a high relative agreement between the commercial and the proposed system.
format	article
author	Yi-Da Wu Shanq-Jang Ruan Yu-Hao Lee
author_facet	Yi-Da Wu Shanq-Jang Ruan Yu-Hao Lee
author_sort	Yi-Da Wu
title	An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications
title_short	An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications
title_full	An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications
title_fullStr	An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications
title_full_unstemmed	An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications
title_sort	ultra-low power surface emg sensor for wearable biometric and medical applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5cca4c9aa94e461c8e136b33bdb75c4c
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_version_	1718412837845467136

An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications

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