Souvik Phadikar
Cited by
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Automatic eyeblink artifact removal from EEG signal using wavelet transform with heuristically optimized threshold
S Phadikar, N Sinha, R Ghosh
IEEE Journal of Biomedical and Health Informatics 25 (2), 475-484, 2020
Automatic EEG eyeblink artefact identification and removal technique using independent component analysis in combination with support vector machines and denoising autoencoder
S Phadikar, N Sinha, R Ghosh
IET Signal Processing 14 (6), 396-405, 2020
A modified grey wolf optimization based feature selection method from EEG for silent speech classification
R Ghosh, N Sinha, SK Biswas, S Phadikar
Journal of Information and Optimization Sciences 40 (8), 1639-1652, 2019
A survey on feature extraction methods for EEG based emotion recognition
S Phadikar, N Sinha, R Ghosh
International Conference on Innovation in Modern Science and Technology, 31-45, 2019
Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter
S Phadikar, N Sinha, R Ghosh, E Ghaderpour
Sensors 22 (8), 2948, 2022
Automated Feature Extraction on AsMap for Emotion Classification Using EEG
MZI Ahmed, N Sinha, S Phadikar, E Ghaderpour
Sensors 22 (6), 2346, 2022
SAM 40: Dataset of 40 subject EEG recordings to monitor the induced-stress while performing Stroop color-word test, arithmetic task, and mirror image recognition task
R Ghosh, N Deb, K Sengupta, A Phukan, N Choudhury, S Kashyap, ...
Data in Brief 40, 107772, 2022
Classification of Silent Speech in English and Bengali Languages Using Stacked Autoencoder
R Ghosh, N Sinha, S Phadikar
SN Computer Science 3 (5), 1-12, 2022
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification
S Phadikar, N Sinha, R Ghosh
arXiv preprint arXiv:2201.01468, 2022
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