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All Journal Journal of Novel Engineering Science and Technology
Oo, Nandar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Mechanical Engineering

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Analysis of Electromyography (EMG) Signal Processing with Filtering Techniques Oo, Nandar; Aye, Mya Mya; Oo, Thandar; Win, Lei Lei Yin; Tun, Hla; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.524

Abstract

The paper presents the Analysis of Electromyography (EMG) Signal Processing with Filtering Techniques. The problem in this study is how to consider the filtering techniques for fundamental EMG signal processing with high-level accuracy. The research method for designing the simulation codes for observing the EMG signal modeling and digital filtering techniques with mathematical approaches from the signals and systems concepts. The results confirm that the outcomes of this study met the performance target for noise removal techniques of EMG signals in real-world applications.
Implementation of the Process for Contamination in Electromyography (EMG) Signal by Using Noise Removal Techniques Oo, Nandar; Tun, Hla Myo; Pradhan, Devasis; Win, Lei Lei Yin; Aye, Mya Mya; Oo, Thandar
Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i03.627

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.
Co-Authors Aye, Mya Mya Oo, Thandar Pradhan, Devasis Tun, Hla Tun, Hla Myo Win, Lei Lei Yin