Progress in brain computer interface: challenges and opportunities S Saha, KA Mamun, KIU Ahmed, R Mostafa, GR Naik, S Darvishi, ... Frontiers in Systems Neuroscience 15, 4, 2021 | 257 | 2021 |
Intra- and inter-subject variability in EEG-based sensorimotor brain computer interface: a review S Saha, M Baumert Frontiers in Computational Neuroscience 13, 87, 2020 | 204 | 2020 |
Evidence of variabilities in EEG dynamics during motor imagery-based multiclass brain–computer interface S Saha, KIU Ahmed, R Mostafa, L Hadjileontiadis, A Khandoker IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (2 …, 2018 | 78 | 2018 |
Predicting depressed patients with suicidal ideation from ECG recordings AH Khandoker, V Luthra, Y Abouallaban, S Saha, KI Ahmed, R Mostafa, ... Medical & biological engineering & computing 55, 793-805, 2017 | 35 | 2017 |
Enhanced inter-subject brain computer interface with associative sensorimotor oscillations S Saha, KI Ahmed, R Mostafa, AH Khandoker, L Hadjileontiadis Healthcare technology letters 4 (1), 39-43, 2017 | 28 | 2017 |
Wavelet entropy-based inter-subject associative cortical source localization for sensorimotor BCI S Saha, M Hossain, KIU Ahmed, R Mostafa, LJ Hadjileontiadis, ... Frontiers in neuroinformatics 13, 47, 2019 | 19 | 2019 |
Prototyping Arduino and Android based m-health solution for diabetes mellitus patient AS Sabbir, KM Bodroddoza, A Hye, MF Ahmed, S Saha, KI Ahmed 2016 International Conference on Medical Engineering, Health Informatics and …, 2016 | 16 | 2016 |
Suicidal ideation is associated with altered variability of fingertip photo-plethysmogram signal in depressed patients AH Khandoker, V Luthra, Y Abouallaban, S Saha, KIU Ahmed, R Mostafa, ... Frontiers in physiology 8, 501, 2017 | 12 | 2017 |
Wavelet coherence based channel selection for classifying single trial motor imagery S Saha, KI Ahmed, R Mostafa 2016 9th International Conference on Electrical and Computer Engineering …, 2016 | 7 | 2016 |
Application of wavelet-based maximum entropy on the mean in channel optimization for BCI MS Hossain, S Saha, MA Habib, A Al Noman, T Sharfuddin, KI Ahmed 2016 International Conference on Medical Engineering, Health Informatics and …, 2016 | 7 | 2016 |
Reduced variability in pulse wave velocity in depressed patients with suicidal ideation AH Khandoker, V Luthra, Y Abouallaban, S Saha, KI Ahmed, R Mostafa, ... 2015 Computing in Cardiology Conference (CinC), 1061-1064, 2015 | 6 | 2015 |
Efficient event related oscillatory pattern classification for EEG based BCI utilizing spatial brain dynamics S Saha, KI Ahmed 8th International Conference on Electrical and Computer Engineering, 707-710, 2014 | 4 | 2014 |
Identifying depressed patients with and without suicidal ideation by finger photo-plethysmography AH Khandoker, V Luthra, Y Abouallaban, S Saha, KI Ahmed, R Mostafa, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 3 | 2016 |
Beamforming-inspired spatial filtering technique for intracardiac electrograms S Saha, D Linz, P Sanders, M Baumert 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 2 | 2019 |
A ventricular far-field artefact filtering technique for atrial electrograms S Saha, S Hartmann, D Linz, P Sanders, M Baumert 2019 Computing in Cardiology Conference (CinC), 2019 | 2 | 2019 |
Unifying sensorimotor dynamics in multiclass brain computer interface S Saha, KI Ahmed, R Mostafa 2016 5th International Conference on Informatics, Electronics and Vision …, 2016 | 2 | 2016 |
Overcoming Uncertainties in Electrogram-Based Atrial Fibrillation Mapping: A Review S Saha, D Linz, D Saha, A McEwan, M Baumert Cardiovascular Engineering and Technology, 2023 | | 2023 |
Time-Embedded EEG Sequence Learning for Comatose Patients’ Prognosis S Saha, R Alam, A Samore, A Goodwin, MLS Wong, A McEwan, ... | | 2023 |
Can Inter-Subject Associativity Predict Data-Driven BCI Performance? S Saha, M Baumert, A McEwan 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
Personalised signal processing for cortical and cardiac applications S Saha The University of Adelaide, 2020 | | 2020 |