Measuring Potential from Muscle Activity of Lower Arm
S. Herwiningsih1, S. P. Sakti2, F. Yuana3

1Sri Herwiningsih, Department of Physics, Faculty of Mathematics and Natural Science, Universitas Brawijaya, Malang, Indonesia.

2S. P. Sakti, Department of Physics, Faculty of Mathematics and Natural Science, Universitas Brawijaya, Malang, Indonesia. 

3F. Yuana, Department of Physics, Faculty of Mathematics and Natural Science, Universitas Brawijaya, Malang, Indonesia. 

Manuscript received on 09 January 2020 | Revised Manuscript received on 05 February 2020 | Manuscript Published on 20 February 2020 | PP: 91-93 | Volume-9 Issue-3S January 2020 | Retrieval Number: C10200193S20/2020©BEIESP | DOI: 10.35940/ijitee.C1020.0193S20

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Muscle is one of body tissues which is excitable. It poses an electrical activity during contraction and relaxation which could be measured using an electrical device called as electroneuromyograph (ENMG). This device has a wide application in neurophysiology, biomechanics, fatigue analysis, and ergonomic, as well as sports. However, there is a limited access to this device for research due to its scarce availability which is mainly found in certain hospitals in urban area causing an expensive cost to perform the test. This paper presents a work in measuring biopotential produced from activity of lower arm muscles using a simple ENMG module. An instrumentation amplifier was used to amplify signals from the muscle which are detected using three surface electrodes connected to the amplifier using an EMG cable. The output signal was displayed using an oscilloscope. The results show that the average value of the peak-to-peak voltage during contraction and relaxation were 460 mV and 32.6 mV, respectively. This indicates that a simple ENMG module can be used for measurement the electrical activity of the muscle tissues. The measured signal fluctuated during the measurement, which is possibly caused by the arm position during measurement, the attachment of the surface electrode on the skin surface and the body movement during measurement.

Keywords: Muscle Electrical Activity, Electroneuromyograph, Biopotential, Muscle Contraction.
Scope of the Article: Bio-Science and Bio-Technology