| Novel approaches for the removal of motion artifact from EEG recordings P Gajbhiye, RK Tripathy, A Bhattacharyya, RB Pachori IEEE Sensors Journal 19 (22), 10600-10608, 2019 | 71 | 2019 |
| Wavelet domain optimized Savitzky–Golay filter for the removal of motion artifacts from EEG recordings P Gajbhiye, N Mingchinda, W Chen, SC Mukhopadhyay, T Wilaiprasitporn, ... IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 59 | 2020 |
| Development of automated sleep stage classification system using multivariate projection-based fixed boundary empirical wavelet transform and entropy features extracted from … RK Tripathy, SK Ghosh, P Gajbhiye, UR Acharya Entropy 22 (10), 1141, 2020 | 54 | 2020 |
| Elimination of ocular artifacts from single channel EEG signals using FBSE-EWT based rhythms P Gajbhiye, RK Tripathy, RB Pachori IEEE Sensors Journal 20 (7), 3687-3696, 2019 | 49 | 2019 |
| Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time–frequency analysis RK Tripathy, P Gajbhiye, UR Acharya Computers in Biology and Medicine 120, 103769, 2020 | 45 | 2020 |
| EEG-based detection of focal seizure area using FBSE-EWT rhythm and SAE-SVM network T Siddharth, P Gajbhiye, RK Tripathy, RB Pachori IEEE Sensors Journal 20 (19), 11421-11428, 2020 | 37 | 2020 |
| A two-stage deep CNN architecture for the classification of low-risk and high-risk hypertension classes using multi-lead ECG signals P Jain, P Gajbhiye, RK Tripathy, UR Acharya Informatics in Medicine Unlocked 21, 100479, 2020 | 35 | 2020 |
| Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal J Karhade, SK Ghosh, P Gajbhiye, RK Tripathy, UR Acharya Applied Sciences 11 (17), 7920, 2021 | 22 | 2021 |
| VIRTUe: Video surveillance for rail-road traffic safety at unmanned level crossings;(Incorporating Indian scenario) P Gajbhiye, C Naveen, VR Satpute 2017 IEEE Region 10 Symposium (TENSYMP), 1-4, 2017 | 13 | 2017 |
| Dyadic boundary points based empirical wavelet transform for the elimination of eye movement and eye blink-based ocular artifacts from EEG signals S Dash, P Gajbhiye, P Sawangjai, G Sawadwuthikul, T Sudhawiyangkul, ... Biomedical Signal Processing and Control 85, 104996, 2023 | 11 | 2023 |
| Moving object detection and tracking in traffic surveillance video sequences P Gajbhiye, N Cheggoju, VR Satpute Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th …, 2018 | 1 | 2018 |
| Looking Ahead: The Next Decade of Neuromarketing and Quantum AI V Singh, P Gajbhiye The Quantum AI Era of Neuromarketing, 429-436, 2025 | | 2025 |
| Integrating EEG Analysis to Illuminate Consumer Behavior and Optimize Marketing Strategies MR Vardireddy, P Gajbhiye The Quantum AI Era of Neuromarketing, 157-172, 2025 | | 2025 |
| Neuromarketing and Quantum Al P Gajbhiye The Quantum AI Era of Neuromarketing, 429, 2024 | | 2024 |
| Artificial neural network-based classification of eye states using electroencephalogram signals: a comparative analysis of algorithms and artifact removal techniques P Gajbhiye, V Singh, S Saharan, S Joshi Artificial Intelligence: A tool for effective diagnostics, 5-1-5-26, 2024 | | 2024 |
| Elimination of Muscle Artifacts from the Single Channel EEG Signal using Automatic Singular Spectrum Analysis P Gajbhiye, KVR Kumar, K Hemachandran 2024 15th International Conference on Computing Communication and Networking …, 2024 | | 2024 |
| Multiscale Hybrid Approaches for the Elimination of Different Artifacts from Electroencephalogram Signals P Gajbhiye Pilani, 2021 | | 2021 |
