| 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 | 85 | 2020 |
| Automated feature extraction on AsMap for emotion classification using EEG MZI Ahmed, N Sinha, S Phadikar, E Ghaderpour Sensors 22 (6), 2346, 2022 | 64 | 2022 |
| A survey on denoising techniques of electroencephalogram signals using wavelet transform M Grobbelaar, S Phadikar, E Ghaderpour, AF Struck, N Sinha, R Ghosh, ... Signals 3 (3), 577-586, 2022 | 60 | 2022 |
| Automatic eyeblink and muscular artifact detection and removal from EEG signals using k-nearest neighbor classifier and long short-term memory networks R Ghosh, S Phadikar, N Deb, N Sinha, P Das, E Ghaderpour IEEE Sensors Journal 23 (5), 5422-5436, 2023 | 51 | 2023 |
| Unsupervised feature extraction with autoencoders for EEG based multiclass motor imagery BCI S Phadikar, N Sinha, R Ghosh Expert Systems with Applications 213, 118901, 2023 | 40 | 2023 |
| 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 | 35 | 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 | 32 | 2022 |
| 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 | 30 | 2020 |
| A novel baseline removal paradigm for subject-independent features in emotion classification using EEG MZI Ahmed, N Sinha, E Ghaderpour, S Phadikar, R Ghosh Bioengineering 10 (1), 54, 2023 | 23 | 2023 |
| 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 | 18 | 2019 |
| A survey on feature extraction methods for EEG based emotion recognition S Phadikar, N Sinha, R Ghosh Intelligent Techniques and Applications in Science and Technology …, 2020 | 13 | 2020 |
| Identification of imagined bengali vowels from EEG signals using activity map and convolutional neural network R Ghosh, N Sinha, S Phadikar Brain‐Computer Interface: Using Deep Learning Applications, 231-254, 2023 | 5 | 2023 |
| Classification of silent speech in english and bengali languages using stacked autoencoder R Ghosh, N Sinha, S Phadikar SN Computer Science 3 (5), 389, 2022 | 2 | 2022 |
| A Novel Baseline Removal Paradigm for Subject-Independent Features in Emotion Classification Using EEG. Bioengineering 2023, 10, 54 MZI Ahmed, N Sinha, E Ghaderpour, S Phadikar, R Ghosh | 1 | 2023 |
| Coupling between Time-Varying EEG Spectral Bands and Spatial Dynamic FMRI Networks S Phadikar, K Pusuluri, KM Jensen, L Wu, A Iraji, VD Calhoun 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | | 2024 |
| Development of Intelligent Algorithms for EEG based Brain Signal Analysis S Phadikar National Institute of Technology Silchar, 2023 | | 2023 |
| A hybrid system for automatic removal of eyeblink artifacts from electroencephalogram signals S Phadikar, R Ghosh, R Patgiri, N Sinha DE Patent DE202022100822U120,220,414, 2022 | | 2022 |
Nidul SinhaProfessor, Electrical Engineering Department, National Institute of Technology, SilcharVerified email at ee.nits.ac.in
