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

A P Vinod

Showing results (11-20 of 22) with videos related to

Pageof 3
Sort By:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Design of an online EEG based neurofeedback game for enhancing attention and memoryKavitha P Thomas, A P Vinod, Cuntai Guan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
EEGScaler: A Deep Learning Network to Scale EEG Electrode and Samples for Hand Motor Imagery Speed DecodingPraveen K Parashiva, Sagila Gangadharan K, A P Vinod
Biomedical Physics & Engineering Express|February 21, 2025
On the feasibility of an online brain-computer interface-based neurofeedback game for enhancing attention and working memory in stroke and mild cognitive impairment patientsSuhail T A, Subasree R, A P Vinod, 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
A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer InterfaceRavikiran Mane, Neethu Robinson, A P Vinod, et al.
Journal of Neural Engineering|September 6, 2018
Wavlet phase-locking based binary classification of hand movement directions from EEGTushar Chouhan, Neethu Robinson, A P Vinod, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 19, 2020
Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and RehabilitationV K Benzy, A P Vinod, R Subasree, et al.
Journal of Neural Engineering|September 11, 2013
Multi-class EEG classification of voluntary hand movement directionsNeethu Robinson, Cuntai Guan, A P Vinod, et al.
Journal of Neural Engineering|April 12, 2011
Adaptive tracking of discriminative frequency components in electroencephalograms for a robust brain-computer interfaceKavitha P Thomas, Cuntai Guan, Chiew Tong Lau, et al.
IEEE Transactions on Bio-Medical Engineering|March 1, 2013
EEG-based classification of fast and slow hand movements using Wavelet-CSP algorithmNeethu Robinson, A P Vinod, Kai Keng Ang, et al.
IEEE Transactions on Bio-Medical Engineering|July 17, 2009
A new discriminative common spatial pattern method for motor imagery brain-computer interfacesKavitha P Thomas, Cuntai Guan, Chiew Tong Lau, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Design of an online EEG based neurofeedback game for enhancing attention and memoryKavitha P Thomas, A P Vinod, Cuntai Guan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
EEGScaler: A Deep Learning Network to Scale EEG Electrode and Samples for Hand Motor Imagery Speed DecodingPraveen K Parashiva, Sagila Gangadharan K, A P Vinod
Biomedical Physics & Engineering Express|February 21, 2025
On the feasibility of an online brain-computer interface-based neurofeedback game for enhancing attention and working memory in stroke and mild cognitive impairment patientsSuhail T A, Subasree R, A P Vinod, 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
A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer InterfaceRavikiran Mane, Neethu Robinson, A P Vinod, et al.
Journal of Neural Engineering|September 6, 2018
Wavlet phase-locking based binary classification of hand movement directions from EEGTushar Chouhan, Neethu Robinson, A P Vinod, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 19, 2020
Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and RehabilitationV K Benzy, A P Vinod, R Subasree, et al.
Journal of Neural Engineering|September 11, 2013
Multi-class EEG classification of voluntary hand movement directionsNeethu Robinson, Cuntai Guan, A P Vinod, et al.
Journal of Neural Engineering|April 12, 2011
Adaptive tracking of discriminative frequency components in electroencephalograms for a robust brain-computer interfaceKavitha P Thomas, Cuntai Guan, Chiew Tong Lau, et al.
IEEE Transactions on Bio-Medical Engineering|March 1, 2013
EEG-based classification of fast and slow hand movements using Wavelet-CSP algorithmNeethu Robinson, A P Vinod, Kai Keng Ang, et al.
IEEE Transactions on Bio-Medical Engineering|July 17, 2009
A new discriminative common spatial pattern method for motor imagery brain-computer interfacesKavitha P Thomas, Cuntai Guan, Chiew Tong Lau, et al.
Pageof 3