Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter

Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter

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Electroencephalogram (EEG) signals may get easily contaminated by muscle artifacts, which may lead to wrong interpretation in the brain–computer interface (BCI) system as well as in various medical diagnoses. The main objective of this paper is to remove muscle artifacts without distorting the infor...

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Bibliographic Details
Main Authors: Ghaderpour, E. (Author), Ghosh, R. (Author), Phadikar, S. (Author), Sinha, N. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Average mutual information
Biomedical signal processing
Brain–computer interface
brain–computer interface (BCI)
Electroencephalogram
electroencephalogram (EEG)
Electroencephalogram signals
Electroencephalography
Electromyo grams
Electromyogram
electromyogram (EMG)
Heuristic algorithms
Image denoising
Modified non-local mean filter
modified non-local means filter (NLM)
Muscle
Muscle artifact
muscle artifacts
Non-local mean filters
Optimization
Wavelet decomposition
Wavelet Packet Decomposition
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