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 | 28 | 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 | 14 | 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 | 10 | 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 | 7 | 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 | 4 | 2022 |
Automated Feature Extraction on AsMap for Emotion Classification Using EEG MZI Ahmed, N Sinha, S Phadikar, E Ghaderpour Sensors 22 (6), 2346, 2022 | 4 | 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 | 1 | 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 | | 2022 |
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification S Phadikar, N Sinha, R Ghosh arXiv preprint arXiv:2201.01468, 2022 | | 2022 |