| An effective and robust framework for ocular artifact removal from single-channel EEG signal based on variational mode decomposition M Saini, U Satija IEEE Sensors Journal 20 (1), 369-376, 2019 | 48 | 2019 |
| Wavelet based waveform distortion measures for assessment of denoised EEG quality with reference to noise-free EEG signal M Saini, U Satija, MD Upadhayay IEEE Signal Processing Letters 27, 1260-1264, 2020 | 30 | 2020 |
| One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram M Saini, U Satija, MD Upadhayay Biomedical Signal Processing and Control 74, 103494, 2022 | 21 | 2022 |
| Effective automated method for detection and suppression of muscle artefacts from single‐channel EEG signal M Saini, U Satija, MD Upadhayay Healthcare Technology Letters 7 (2), 35-40, 2020 | 20 | 2020 |
| DSCNN-CAU: deep-learning-based mental activity classification for IoT implementation toward portable BCI M Saini, U Satija, MD Upadhayay IEEE Internet of Things Journal 10 (10), 8944-8957, 2022 | 12 | 2022 |
| Payal, and U M Saini Satija,“An effective and robust framework for ocular artifact removal from …, 2020 | 12 | 2020 |
| Light-weight 1-D convolutional neural network architecture for mental task identification and classification based on single-channel EEG M Saini, U Satija, MD Upadhayay arXiv preprint arXiv:2012.06782, 2020 | 10 | 2020 |
| Discriminatory features based on wavelet energy for effective analysis of electroencephalogram during mental tasks M Saini, U Satija, MD Upadhayay Circuits, Systems, and Signal Processing 41 (10), 5827-5855, 2022 | 6 | 2022 |
| On-device implementation for deep-learning-based cognitive activity prediction M Saini, U Satija IEEE Sensors Letters 6 (4), 1-4, 2022 | 6 | 2022 |
| Edge of Medical Things Implementation for Deep Learning-Based Cognitive Task Recognition M Saini, D Kumar, U Satija IEEE Internet of Things Magazine 5 (3), 56-60, 2022 | 5 | 2022 |
| Variational mode decomposition based mental task classification from electroencephalogram M Saini, U Satija, MD Upadhayay 2020 IEEE 17th India Council International Conference (INDICON), 1-7, 2020 | 5 | 2020 |
| BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation M Saini, A Jain, SP Muthukrishnan, S Bhasin, S Roy, L Kumar IEEE Transactions on Instrumentation and Measurement, 2023 | 2 | 2023 |
| State-of-the-art mental tasks classification based on electroencephalograms: a review M Saini, U Satija Physiological Measurement 44 (6), 06TR01, 2023 | 1 | 2023 |
| DMAeEDNet: Dense Multiplicative Attention enhanced Encoder Decoder Network for Ultrasound-based Automated Breast Lesion Segmentation M Saini, H Afrin, S Sotoudehnia, M Fatemi, A Alizad IEEE Access, 2024 | | 2024 |
| A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection S Mandal, GP Kumar, M Saini, U Satija, Y Kumar IEEE Transactions on Instrumentation and Measurement, 2023 | | 2023 |
| Automated electroencephalogram artifacts removal and cognitive task classification methods for edge devices implementation M Saini Greater Noida, 0 | | |
Udit SatijaAssistant Professor, Indian Institute of Technology (IIT) PatnaVerified email at iitp.ac.in
