| Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy SD Power, TH Falk, T Chau Journal of neural engineering 7 (2), 026002, 2010 | 187 | 2010 |
| Towards a system-paced near-infrared spectroscopy brain–computer interface: differentiating prefrontal activity due to mental arithmetic and mental singing from the no-control … SD Power, A Kushki, T Chau Journal of neural engineering 8 (6), 066004, 2011 | 183 | 2011 |
| Automatic single-trial discrimination of mental arithmetic, mental singing and the no-control state from prefrontal activity: toward a three-state NIRS-BCI SD Power, A Kushki, T Chau BMC research notes 5, 1-10, 2012 | 120 | 2012 |
| Intersession consistency of single-trial classification of the prefrontal response to mental arithmetic and the no-control state by NIRS SD Power, A Kushki, T Chau PloS one 7 (7), e37791, 2012 | 101 | 2012 |
| Taking NIRS-BCIs outside the lab: towards achieving robustness against environment noise TH Falk, M Guirgis, S Power, TT Chau IEEE Transactions on Neural Systems and Rehabilitation Engineering 19 (2 …, 2010 | 90 | 2010 |
| Automatic detection of a prefrontal cortical response to emotionally rated music using multi-channel near-infrared spectroscopy S Moghimi, A Kushki, S Power, AM Guerguerian, T Chau Journal of neural engineering 9 (2), 026022, 2012 | 86 | 2012 |
| Investigating the need for modelling temporal dependencies in a brain-computer interface with real-time feedback based on near infrared spectra J Chan, S Power, T Chau Journal of Near Infrared Spectroscopy 20 (1), 107-116, 2012 | 39 | 2012 |
| Automatic single-trial classification of prefrontal hemodynamic activity in an individual with Duchenne muscular dystrophy SD Power, T Chau Developmental neurorehabilitation 16 (1), 67-72, 2013 | 38 | 2013 |
| Dynamic topographical pattern classification of multichannel prefrontal NIRS signals LC Schudlo, SD Power, T Chau Journal of Neural Engineering 10 (4), 046018, 2013 | 29 | 2013 |
| Thermal imaging of the periorbital regions during the presentation of an auditory startle stimulus L Gane, S Power, A Kushki, T Chau PloS one 6 (11), e27268, 2011 | 25 | 2011 |
| EEG-based detection of mental workload level and stress: the effect of variation in each state on classification of the other M Bagheri, SD Power Journal of Neural Engineering 17 (5), 056015, 2020 | 23 | 2020 |
| A cardiorespiratory classifier of voluntary and involuntary electrodermal activity S Blain, SD Power, E Sejdic, A Mihailidis, T Chau Biomedical engineering online 9, 1-18, 2010 | 20 | 2010 |
| Classification of activity engagement in individuals with severe physical disabilities using signals of the peripheral nervous system A Kushki, AJ Andrews, SD Power, G King, T Chau PloS one 7 (2), e30373, 2012 | 17 | 2012 |
| Improving the performance of NIRS-based brain-computer interfaces in the presence of background auditory distractions TH Falk, K Paton, S Power, T Chau 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 14 | 2010 |
| Simultaneous classification of both mental workload and stress level suitable for an online passive brain–computer interface M Bagheri, SD Power Sensors 22 (2), 535, 2022 | 13 | 2022 |
| Investigating hierarchical and ensemble classification approaches to mitigate the negative effect of varying stress state on EEG-based detection of mental workload level-and … M Bagheri, SD Power Brain-Computer Interfaces 8 (1-2), 26-37, 2021 | 10 | 2021 |
| k-fold cross-validation can significantly over-estimate true classification accuracy in common EEG-based passive BCI experimental designs: an empirical investigation J White, SD Power Sensors 23 (13), 6077, 2023 | 9 | 2023 |
| Investigation of an EEG-based Indicator of skill acquisition as novice participants practice a lifeboat maneuvering task in a simulator R Biswas, B Veitch, SD Power International Journal of Human–Computer Interaction 36 (8), 777-787, 2020 | 8 | 2020 |
| Assessment of changes in neural activity during acquisition of spatial knowledge using EEG signal classification B Kenny, B Veitch, S Power Journal of Neural Engineering 16 (3), 036027, 2019 | 7 | 2019 |
| On the use of peripheral autonomic signals for binary control of body–machine interfaces TH Falk, M Guirgis, S Power, S Blain, T Chau Physiological measurement 31 (11), 1411, 2010 | 6 | 2010 |
Tom ChauHolland Bloorview; Biomedical Engineering, University of TorontoGeverifieerd e-mailadres voor hollandbloorview.ca
