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Sarah D. Power
Sarah D. Power
Associate Professor, Memorial University
Verified email at mun.ca
Title
Cited by
Cited by
Year
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
1862010
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
1802011
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
1192012
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
1012012
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
892010
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
852012
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
392012
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
382013
Dynamic topographical pattern classification of multichannel prefrontal NIRS signals
LC Schudlo, SD Power, T Chau
Journal of Neural Engineering 10 (4), 046018, 2013
292013
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
252011
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
232020
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
202010
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
172012
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
142010
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
122022
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
102021
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
92023
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
82020
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
72019
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
62010
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