| Patient-specific epileptic seizure prediction in long-term scalp EEG signal using multivariate statistical process control S Rukhsar, YU Khan, O Farooq, M Sarfraz, AT Khan Irbm 40 (6), 320-331, 2019 | 34 | 2019 |
| Discrimination of multi-class EEG signal in phase space of variability for epileptic seizure detection using error correcting output code (ECOC) S Rukhsar International Journal of Information Technology, 1-13, 2018 | 9* | 2018 |
| Detection of epileptic seizure in EEG signals using phase space reconstruction and euclidean distance of first-order derivative S Rukhsar, H Rehman, YU Khan, AT Khan 2017 international conference on inventive computing and informatics (ICICI …, 2017 | 6 | 2017 |
| Epileptic seizure detection using temporal based measures in EEG signal MDS Hussain, M Sarfraz, S Rukhsar 2018 3rd International Conference on Communication and Electronics Systems …, 2018 | 5 | 2018 |
| Lightweight convolution transformer for cross-patient seizure detection in multi-channel EEG signals S Rukhsar, AK Tiwari Computer Methods and Programs in Biomedicine 242, 107856, 2023 | 3 | 2023 |
| Barnes–Hut approximation based accelerating t-SNE for seizure detection S Rukhsar, AK Tiwari Biomedical Signal Processing and Control 84, 104833, 2023 | 3 | 2023 |
| Deep optimized electrodes and frequency bands in the phase space for identification of seizures S Rukhsar, AK Tiwari, S Panda 2022 IEEE 19th India Council International Conference (INDICON), 1-5, 2022 | 1 | 2022 |
| ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures S Rukhsar, AK Tiwari arXiv preprint arXiv:2403.03276, 2024 | | 2024 |
| Epileptic Seizure Detection in EEG Signals Using Hjorth Parameters of Analytic Intrinsic Mode Functions H Rehman, S Rukhsar, YU Khan, AT Khan | | |
Yusuf Uzzaman KhanAligarh Muslim University, AligarhVerified email at amu.ac.in
