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

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...

Full description

Bibliographic Details
Main Authors: Souvik Phadikar, Nidul Sinha, Rajdeep Ghosh, Ebrahim Ghaderpour
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
brain–computer interface (BCI)
electroencephalogram (EEG)
electromyogram (EMG)
modified non-local means filter (NLM)
muscle artifacts
Online Access:https://www.mdpi.com/1424-8220/22/8/2948

Similar Items

Similar Items