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Simanto Saha, MPhil (Adelaide)
Simanto Saha, MPhil (Adelaide)
The University of Sydney
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
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
2402021
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
1952020
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
772018
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
342017
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
272017
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
182019
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
162016
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
122017
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
72016
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
72016
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
62015
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
42014
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
32016
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
22019
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
22019
Unifying sensorimotor dynamics in multiclass brain computer interface
S Saha, KI Ahmed, R Mostafa
2016 5th International Conference on Informatics, Electronics and Vision …, 2016
22016
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
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