Classification And Noise Reduction of Electromyography Signals

Authors

  • Assistt. Prof. Dr. Naufel Bahjat Mohammed Research Center for Natural Science, Agriculture and Engineering- Kissr- MOH- Kurdistan of Iraq) Author

Keywords:

Electromyography, Fuzzy modeling, Noise reduction, BrainBay software, OLIMEX 328, Spectrum analysis

Abstract

This research aims to present a new method of noise reduction and feature extraction of Electromyography (EMG) signals.
Tow electromyography signals measured from the Right hand (RH) and Left hand (LH) of a person under test, spectrum analysis, and fuzzy modeling were applied to simplify the data classification and analysis of the measured EMG signals. 

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Published

2024-08-27

Issue

Vol. 2 No. 8 (2023)

Section

Articles

How to Cite

Classification And Noise Reduction of Electromyography Signals. (2024). Journal of Kurdistani for Strategic Studies, 2(8). https://kissrjour.org/index.php/jkss/article/view/349