Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Joshua Giles

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
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
Data Space Adaptation for Multiclass Motor Imagery-based BCIJoshua Giles, Kai Keng Ang, Lyudmila Mihaylova, et al.
Frontiers in Human Neuroscience|August 7, 2025
Associations between pre-cue parietal alpha oscillations and event related desynchronization in motor imagery-based brain-computer interfaceMohamed A Mohamed, Joshua Giles, Mashael AlSaleh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer InterfacesJoshua Giles, Kai Keng Ang, Lyudmila Mihaylova, et al.
Annals of Biomedical Engineering|May 26, 2018
Augmented Reality Based Navigation for Computer Assisted Hip Resurfacing: A Proof of Concept StudyHe Liu, Edouard Auvinet, Joshua Giles, et al.
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.
Journal of Neuroengineering and Rehabilitation|April 24, 2025
A clinical trial evaluating feasibility and acceptability of a brain-computer interface for telerehabilitation in patients with strokeSalem Mansour, Joshua Giles, Krishnan P S Nair, 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.
Hearing Research|June 18, 2025
A machine-learning-based approach to predict early hallmarks of progressive hearing lossFederico Ceriani, Joshua Giles, Neil J Ingham, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
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
Data Space Adaptation for Multiclass Motor Imagery-based BCIJoshua Giles, Kai Keng Ang, Lyudmila Mihaylova, et al.
Frontiers in Human Neuroscience|August 7, 2025
Associations between pre-cue parietal alpha oscillations and event related desynchronization in motor imagery-based brain-computer interfaceMohamed A Mohamed, Joshua Giles, Mashael AlSaleh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer InterfacesJoshua Giles, Kai Keng Ang, Lyudmila Mihaylova, et al.
Annals of Biomedical Engineering|May 26, 2018
Augmented Reality Based Navigation for Computer Assisted Hip Resurfacing: A Proof of Concept StudyHe Liu, Edouard Auvinet, Joshua Giles, et al.
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.
Journal of Neuroengineering and Rehabilitation|April 24, 2025
A clinical trial evaluating feasibility and acceptability of a brain-computer interface for telerehabilitation in patients with strokeSalem Mansour, Joshua Giles, Krishnan P S Nair, 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.
Hearing Research|June 18, 2025
A machine-learning-based approach to predict early hallmarks of progressive hearing lossFederico Ceriani, Joshua Giles, Neil J Ingham, et al.
Pageof 1