Sam Darvishi
Sam Darvishi
Ph.D., School of Electrical and Electronic Engineering, University of Adelaide, Australia
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Brain-computer interface analysis using continuous wavelet transform and adaptive neuro-fuzzy classifier
S Darvishi, A Al-Ani
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
Variability in neural excitability and plasticity induction in the human cortex: a brain stimulation study
B Hordacre, MR Goldsworthy, AM Vallence, S Darvishi, B Moezzi, ...
Brain Stimulation 10 (3), 588-595, 2017
Proprioceptive feedback facilitates motor imagery-related operant learning of sensorimotor β-band modulation
S Darvishi, A Gharabaghi, CB Boulay, MC Ridding, D Abbott, M Baumert
Frontiers in neuroscience 11, 60, 2017
Investigation of the trade-off between time window length, classifier update rate and classification accuracy for restorative brain-computer interfaces
S Darvishi, M Ridding, D Abbott, M Baumert
35th Annual International Conference of the IEEE EMBS, 1567-1570, 2013
Does feedback modality affect performance of brain computer interfaces?
S Darvishi, MC Ridding, D Abbott, M Baumert
2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 232-235, 2015
Investigating the impact of feedback update interval on the efficacy of restorative brain–computer interfaces
S Darvishi, MC Ridding, B Hordacre, D Abbott, M Baumert
Royal Society Open Science 4 (8), 170660, 2017
Reaction time predicts brain–computer interface aptitude
S Darvishi, A Gharabaghi, MC Ridding, D Abbott, M Baumert
IEEE Journal of Translational Engineering in Health and Medicine 6, 1-11, 2018
Progress in brain computer interfaces: challenges and trends
S Saha, KA Mamun, K Ahmed, R Mostafa, GR Naik, A Khandoker, ...
arXiv preprint arXiv:1901.03442, 2019
Prediction of motor imagery based brain computer interface performance using a reaction time test
S Darvishi, D Abbott, M Baumert
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Proposing a Novel Feedback Provision Paradigm for Restorative Brain-Computer Interfaces
S Darvishi, M Ridding, D Abbott, M Baumert
Proceedings of the Fifth International Brain-Computer Interface Meeting 2013 …, 2013
Classification of Motor Imagery EEG Signals using Adaptive Neuro-Fuzzy Inference System Trained by Particle Swarm Optimization
S Darvishi, MH Moradi, M Baumert, D Abbott
EMBC 2012/ BMBI Workshop, P-4, 2012
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