Implementation of the Process for Contamination in Electromyography (EMG) Signal by Using Noise Removal Techniques

Implementation of the Process for Contamination in Electromyography (EMG) Signal by Using Noise Removal Techniques

Authors

DOI:

https://doi.org/10.56741/jnest.v3i03.627

Keywords:

Biomedical Signal Processing, Digital Signal Processing, Electromyography, Filtering Techniques, Noise Removal Techniques

Abstract

The paper describes the analysis of electromyography (EMG) signals using noise removal techniques. The problem in this study is to consider a noise removal technique for basic EMG signal processing by the Band Pass Filter method. A research approach to designing simulation codes for observing EMG signal modeling and noise removal techniques through mathematical methods from signals and systems concepts. The results confirm that it can provide high-performance target monitoring of the EMG signal in real-world applications.

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Author Biographies

Nandar Oo, Yangon Technological University

received B.E. from Technological University (2009), and her M.E. from Technological University (2012). She joined Technological University (Myitkyina), Myanmar as a tutor at the Department of Electronic Engineering in 2017. She is now a PhD candidate at the Department of Electronic Engineering of Yangon Technological University. (email: manandaroo.ytu@gmail.com).

Hla Myo Tun, Yangon Technological University

is a Leading Pro-Rector for Research and Engineering Higher Education at Yangon Technological University (YTU), Myanmar. He specializes in professional training for Engineering Higher Education leaders, heads of departments, and faculty members. He also directs Research and Development programs and workshops and has worked as a certified Quality Assurance Evaluator of the Myanmar Engineering Council (MEngC) since 2019. (email: hmt.ytu@gmail.com).  

Devasis Pradhan, Acharya Institute of Technology

has worked as an Assistant Professor in Grade 1 and Dean of Research and Development at Acharya Institute of Technology, Bengaluru, Karnataka, from 2017 onwards. His current research includes the effectiveness of 5G Green Communications, mmWave antenna design, UWB antennas, and its implementation. With 16+ years of experience in the Academic and Research field, he has published 76 research papers and eight papers submitted to IEEE Access and Reputed Book and 4 Authored Books and 3 Edited Books (CRC, ISTE, Bentham Science) with a reputed publishing house. (email: devasispradhan@acharya.ac.in).

Lei Lei Yin Win, Yangon Technological University

is a Professor at the Department of Electronic Engineering at Yangon Technological University, Myanmar. (email: maleileiyinwin.ytu@gmail.com).

Mya Mya Aye, Yangon Technological University

is an Associate Professor at the Department of Electronic Engineering at Yangon Technological University (YTU), Myanmar. (email: mamyamyaaye.ytu@gmail.com).  

Thandar Oo, Yangon Technological University

received B.E. from Technological University (2012), M.E. from Mandalay Technological University (2015), and PhD from Prince of Songkla University (2019). She joined Yangon Technological University, Myanmar as a tutor at the Department of Electronic Engineering in 2021. (email: mathandaroo.ytu@gmail.com).

References

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Oo, Nandar, Mya Mya Aye, Thandar Oo, Lei Lei Yin Win, Hla Tun, and Devasis Pradhan. "Analysis of Electromyography (EMG) Signal Processing with Filtering Techniques." Journal of Novel Engineering Science and Technology 3, no. 02 (2024): 41-45. DOI: https://doi.org/10.56741/jnest.v3i02.524

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Published

2024-08-17

How to Cite

Oo, N., Tun, H. M., Pradhan, D., Win, L. L. Y., Aye, M. M., & Oo, T. (2024). Implementation of the Process for Contamination in Electromyography (EMG) Signal by Using Noise Removal Techniques. Journal of Novel Engineering Science and Technology, 3(03), 94–98. https://doi.org/10.56741/jnest.v3i03.627

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Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology

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