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Kok Soon Phua

Showing results (1-10 of 36) with videos related to

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Frontiers in Neuroergonomics|January 18, 2024
A Transfer Learning Algorithm to Reduce Brain-Computer Interface Calibration Time for Long-Term UsersJoshua Giles, Kai Keng Ang, Kok Soon Phua, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Selection of effective EEG channels in brain computer interfaces based on inconsistencies of classifiersHuijuan Yang, Cuntai Guan, Kai Keng Ang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Modeling EEG-based Motor Imagery with Session to Session Online AdaptationZhuo Zhang, Ruyi Foong, Kok Soon Phua, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Introduction to NeuroComm: a platform for developing real-time EEG-based brain-computer interface applicationsChaunchu Wang, Haihong Zhang, Kok Soon Phua, et al.
Clinical EEG and Neuroscience|April 29, 2021
Efficacy of Brain-Computer Interface and the Impact of Its Design Characteristics on Poststroke Upper-limb Rehabilitation: A Systematic Review and Meta-analysis of Randomized Controlled TrialsSalem Mansour, Kai Keng Ang, Krishnan P S Nair, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS RehabilitationRavikiran Mane, Effie Chew, Kok Soon Phua, et al.
Scientific Reports|September 28, 2022
Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interfaceSalem Mansour, Joshua Giles, Kai Keng Ang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Infant EEG Band Power Analysis at 6 Months and 18 MonthsHaihong Zhang, Chuanchu Wang, Tao Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 28, 2019
Prognostic and Monitory EEG-Biomarkers for BCI Upper-Limb Stroke RehabilitationRavikiran Mane, Effie Chew, Kok Soon Phua, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitationKai Keng Ang, Cuntai Guan, Kok Soon Phua, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Frontiers in Neuroergonomics|January 18, 2024
A Transfer Learning Algorithm to Reduce Brain-Computer Interface Calibration Time for Long-Term UsersJoshua Giles, Kai Keng Ang, Kok Soon Phua, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Selection of effective EEG channels in brain computer interfaces based on inconsistencies of classifiersHuijuan Yang, Cuntai Guan, Kai Keng Ang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Modeling EEG-based Motor Imagery with Session to Session Online AdaptationZhuo Zhang, Ruyi Foong, Kok Soon Phua, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Introduction to NeuroComm: a platform for developing real-time EEG-based brain-computer interface applicationsChaunchu Wang, Haihong Zhang, Kok Soon Phua, et al.
Clinical EEG and Neuroscience|April 29, 2021
Efficacy of Brain-Computer Interface and the Impact of Its Design Characteristics on Poststroke Upper-limb Rehabilitation: A Systematic Review and Meta-analysis of Randomized Controlled TrialsSalem Mansour, Kai Keng Ang, Krishnan P S Nair, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS RehabilitationRavikiran Mane, Effie Chew, Kok Soon Phua, et al.
Scientific Reports|September 28, 2022
Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interfaceSalem Mansour, Joshua Giles, Kai Keng Ang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Infant EEG Band Power Analysis at 6 Months and 18 MonthsHaihong Zhang, Chuanchu Wang, Tao Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 28, 2019
Prognostic and Monitory EEG-Biomarkers for BCI Upper-Limb Stroke RehabilitationRavikiran Mane, Effie Chew, Kok Soon Phua, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitationKai Keng Ang, Cuntai Guan, Kok Soon Phua, et al.
Pageof 4