| A multivariate approach for patient-specific EEG seizure detection using empirical wavelet transform A Bhattacharyya, RB Pachori IEEE Transactions on Biomedical Engineering 64 (9), 2003-2015, 2017 | 394 | 2017 |
| Tunable-Q wavelet transform based multiscale entropy measure for automated classification of epileptic EEG signals A Bhattacharyya, RB Pachori, A Upadhyay, UR Acharya Applied Sciences 7 (4), 385, 2017 | 272 | 2017 |
| A novel approach for automated detection of focal EEG signals using empirical wavelet transform A Bhattacharyya, M Sharma, RB Pachori, P Sircar, UR Acharya Neural Computing and Applications 29, 47-57, 2018 | 229 | 2018 |
| Fourier–Bessel series expansion based empirical wavelet transform for analysis of non-stationary signals A Bhattacharyya, L Singh, RB Pachori Digital Signal Processing 78, 185-196, 2018 | 156 | 2018 |
| A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images A Bhattacharyya, D Bhaik, S Kumar, P Thakur, R Sharma, RB Pachori Biomedical Signal Processing and Control, In Press, 2021 | 144 | 2021 |
| A novel approach for detection of myocardial infarction from ECG signals of multiple electrodes RK Tripathy, A Bhattacharyya, RB Pachori IEEE Sensors Journal 19 (12), 4509-4517, 2019 | 113 | 2019 |
| Tunable-Q wavelet transform based multivariate sub-band fuzzy entropy with application to focal EEG signal analysis A Bhattacharyya, RB Pachori, UR Acharya Entropy 19 (3), 99, 2017 | 106 | 2017 |
| A Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition A Bhattacharyya, RK Tripathy, L Garg, RB Pachori IEEE Sensors Journal, In Press, 2020 | 87 | 2020 |
| Localization of myocardial infarction from multi-lead ECG signals using multiscale analysis and convolutional neural network RK Tripathy, A Bhattacharyya, RB Pachori IEEE Sensors Journal 19 (23), 11437-11448, 2019 | 71 | 2019 |
| 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 | 64 | 2019 |
| Human emotion recognition based on time–frequency analysis of multivariate EEG signal V Padhmashree, A Bhattacharyya Knowledge-Based Systems 238, 107867, 2022 | 62 | 2022 |
| A multi-channel approach for cortical stimulation artefact suppression in depth EEG signals using time-frequency and spatial filtering A Bhattacharyya, R Ranta, S Le Cam, V Louis-Dorr, L Tyvaert, ... IEEE Transactions on Biomedical Engineering 66 (7), 1915-1926, 2018 | 33 | 2018 |
| Classification of seizure and non-seizure EEG signals based on EMD-TQWT method V Gupta, A Bhattacharyya, RB Pachori 2017 22nd International conference on digital signal processing (DSP), 1-5, 2017 | 33 | 2017 |
| A Computerized Approach for Automatic Human Emotion Recognition using Sliding Mode Singular Spectrum Analysis LD Sharma, A Bhattacharyya IEEE Sensors Journal, In Press, 2021 | 27 | 2021 |
| Automated identification of epileptic seizure EEG signals using empirical wavelet transform based Hilbert marginal spectrum A Bhattacharyya, V Gupta, RB Pachori 2017 22nd International Conference on Digital Signal Processing (DSP), 1-5, 2017 | 27 | 2017 |
| Automated identification of epileptic seizures from EEG signals using FBSE-EWT method V Gupta, A Bhattacharyya, RB Pachori Biomedical Signal Processing: Advances in Theory, Algorithms and …, 2020 | 26 | 2020 |
| EEG based automatic emotion recognition using EMD and random forest classifier GKP Veeramallu, Y Anupalli, S kumar Jilumudi, A Bhattacharyya 2019 10th International Conference on Computing, Communication and …, 2019 | 25 | 2019 |
| Identification of epileptic seizures from scalp EEG signals based on TQWT A Bhattacharyya, L Singh, RB Pachori Machine intelligence and signal analysis, 209-221, 2019 | 17 | 2019 |
| Semianalytic BER estimation of SC-QPSK under Nakagami-m frequency selective fading channel with diversity reception A Bhattacharyya, N Sood International Journal of Information and Electronics Engineering 4 (1), 67, 2014 | 6 | 2014 |
| Development of an effective computing framework for classification of motor imagery EEG signals for brain—computer interface. Advances in computational intelligence techniques PS Ramya, K Yashasvi, A Anjum, A Bhattacharyya, RB Pachori Springer, Singapore, 2020 | 5* | 2020 |
Ram Bilas PachoriProfessor, Department of Electrical Engineering, Indian Institute of Technology IndoreVerified email at iiti.ac.in
