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低成本抗刺激肌电图

Low-cost stimulation resistant electromyography.

作者信息

McKenzie Lachlan R, Pretty Christopher G, Fortune Benjamin C, Chatfield Logan T

机构信息

Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand.

出版信息

HardwareX. 2021 Feb 13;9:e00178. doi: 10.1016/j.ohx.2021.e00178. eCollection 2021 Apr.

DOI:10.1016/j.ohx.2021.e00178
PMID:35492046
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9041242/
Abstract

Surface Electromyography (sEMG) is the non-invasive measurement of skeletal muscle contraction bio-potentials. Measuring sEMG of a stimulated muscle can prove particularly difficult due to large scale and long lasting stimulation-induced artefacts: if an sEMG device does not account for such artefacts, its measurements can be swamped and components damaged. sEMG has been used in a wide range of clinical and biomedical fields, providing measures such as muscular fatigue and subject intent. The recording of sEMG can prove difficult due to signal contamination such as movement artefact and mains interference. There are very few commercial sEMG devices that contain protection against large stimulation voltages or measures to reduce artefact transient times. Furthermore, most commercial or research level designs are not open source; these designs are effectively an inflexible black box to researchers and developers. This research presents the design, test and validation of an open source sEMG design, able to record muscle bio-potentials concurrently to electrical stimulation. The open source, low-cost nature of the design provides accessibility to researchers without the time and cost associated with design development. The design has been tested on the forearms of four able-bodied subjects during 25 Hz constant current stimulation, and has been shown to record subject volitional sEMG and M-wave without saturation.

摘要

表面肌电图(sEMG)是对骨骼肌收缩生物电位的非侵入性测量。由于大规模且持久的刺激诱发伪迹,测量受刺激肌肉的sEMG可能会特别困难:如果sEMG设备不能处理此类伪迹,其测量结果可能会被淹没,组件也可能受损。sEMG已被广泛应用于临床和生物医学领域,可提供诸如肌肉疲劳和受试者意图等测量指标。由于信号受到诸如运动伪迹和市电干扰等污染,sEMG的记录可能会很困难。很少有商业sEMG设备具备针对大刺激电压的保护措施或减少伪迹瞬变时间的方法。此外,大多数商业或研究级别的设计都不是开源的;这些设计对于研究人员和开发者来说实际上是一个僵化的黑匣子。本研究展示了一种开源sEMG设计的设计、测试和验证,该设计能够在进行电刺激的同时记录肌肉生物电位。该设计的开源、低成本特性使研究人员无需承担与设计开发相关的时间和成本就能使用。该设计已在四名身体健全的受试者的前臂上进行了25Hz恒流刺激测试,并已证明能够记录受试者的自主sEMG和M波且不会饱和。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/8360428a2fd8/gr9.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/e9f7db892e42/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/bef242cadef0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/860658b85392/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/3bae18e211b4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/5bb139f51e96/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/156ff550867b/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/a25cfd98a54c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/00db4a12d365/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/8360428a2fd8/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/1dceaf36fe5e/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/e9f7db892e42/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/bef242cadef0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/860658b85392/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/3bae18e211b4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/5bb139f51e96/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/156ff550867b/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/a25cfd98a54c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/00db4a12d365/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b686/9041242/8360428a2fd8/gr9.jpg

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本文引用的文献

1
Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study.低成本肌电图 (EMG) 系统的验证:使用商业精确 EMG 设备进行的初步研究。
Sensors (Basel). 2019 Nov 28;19(23):5214. doi: 10.3390/s19235214.
2
Effects of electromyography-driven robot-aided hand training with neuromuscular electrical stimulation on hand control performance after chronic stroke.肌电图驱动的机器人辅助手部训练结合神经肌肉电刺激对慢性卒中后手控制能力的影响
Disabil Rehabil Assist Technol. 2015 Mar;10(2):149-59. doi: 10.3109/17483107.2013.873491. Epub 2013 Dec 31.
3
A blink restoration system with contralateral EMG triggered stimulation and real-time artifact blanking.
一种具有对侧肌电图触发刺激和实时伪迹消除功能的眨眼恢复系统。
IEEE Trans Biomed Circuits Syst. 2013 Apr;7(2):140-8. doi: 10.1109/TBCAS.2013.2255051.
4
Stimulus-artifact elimination in a multi-electrode system.多电极系统中的刺激伪迹消除。
IEEE Trans Biomed Circuits Syst. 2008 Mar;2(1):10-21. doi: 10.1109/TBCAS.2008.918285.
5
An EMG-controlled neuroprosthesis for daily upper limb support: a preliminary study.用于日常上肢支撑的肌电图控制神经假体:一项初步研究。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4259-62. doi: 10.1109/IEMBS.2011.6091057.
6
Automatic removal of high-amplitude stimulus artefact from neuronal signal recorded in the subthalamic nucleus.自动去除记录于丘脑底核神经元信号中的高振幅刺激伪迹。
J Neurosci Methods. 2011 May 15;198(1):135-46. doi: 10.1016/j.jneumeth.2011.03.022. Epub 2011 Apr 2.
7
Amplifier design for EMG recording from stimulation electrodes during functional electrical stimulation leg cycling ergometry.功能性电刺激腿部蹬车测力法中用于从刺激电极记录肌电图的放大器设计。
Biomed Tech (Berl). 2011 Feb;56(1):23-33. doi: 10.1515/BMT.2010.055. Epub 2010 Dec 17.
8
Surface EMG as a fatigue indicator during FES-induced isometric muscle contractions.表面肌电图作为 FES 诱导等长肌肉收缩时的疲劳指标。
J Electromyogr Kinesiol. 1997 Mar;7(1):27-37. doi: 10.1016/s1050-6411(96)00016-8.
9
Autogenic EMG-controlled functional electrical stimulation for ankle dorsiflexion control.自生肌电控制功能性电刺激用于踝关节背屈控制。
J Neurosci Methods. 2010 Oct 30;193(1):118-25. doi: 10.1016/j.jneumeth.2010.08.011. Epub 2010 Aug 14.
10
Surface EMG based muscle fatigue evaluation in biomechanics.生物力学中基于表面肌电图的肌肉疲劳评估
Clin Biomech (Bristol). 2009 May;24(4):327-40. doi: 10.1016/j.clinbiomech.2009.01.010. Epub 2009 Mar 13.