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

Reza Eyvazpour

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Iscience|February 2, 2026
A general model based on Riemannian manifold for stable decoding movement trajectory from ECoG signalsReza Eyvazpour, Behraz Farrokhi, Abbas Erfanian
Biomedical Engineering Online|November 10, 2020
Objective assessment of spasticity by pendulum test: a systematic review on methods of implementation and outcome measuresFariborz Rahimi, Reza Eyvazpour, Nazila Salahshour, et al.
Computational Intelligence and Neuroscience|October 8, 2021
Facial Emotion Recognition Predicts Alexithymia Using Machine LearningNima Farhoumandi, Sadegh Mollaey, Soomaayeh Heysieattalab, et al.
Journal of Medical Signals and Sensors|November 25, 2021
Electroencephalographic Activity in Patients with Claustrophobia: A Pilot StudyDunya Moradi, Reza Eyvazpour, Fariborz Rahimi, et al.
Brain and Behavior|June 27, 2023
Machine learning-based classifying of risk-takers and risk-aversive individuals using resting-state EEG data: A pilot feasibility studyReza Eyvazpour, Farhad Farkhondeh Tale Navi, Elmira Shakeri, et al.
Data in Brief|January 10, 2022
Neural activity in self-identified claustrophobic individuals under in-vivo stimuli: A human electroencephalography datasetDunya Moradi, Fariborz Rahimi, Reza Eyvazpour, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Iscience|February 2, 2026
A general model based on Riemannian manifold for stable decoding movement trajectory from ECoG signalsReza Eyvazpour, Behraz Farrokhi, Abbas Erfanian
Biomedical Engineering Online|November 10, 2020
Objective assessment of spasticity by pendulum test: a systematic review on methods of implementation and outcome measuresFariborz Rahimi, Reza Eyvazpour, Nazila Salahshour, et al.
Computational Intelligence and Neuroscience|October 8, 2021
Facial Emotion Recognition Predicts Alexithymia Using Machine LearningNima Farhoumandi, Sadegh Mollaey, Soomaayeh Heysieattalab, et al.
Journal of Medical Signals and Sensors|November 25, 2021
Electroencephalographic Activity in Patients with Claustrophobia: A Pilot StudyDunya Moradi, Reza Eyvazpour, Fariborz Rahimi, et al.
Brain and Behavior|June 27, 2023
Machine learning-based classifying of risk-takers and risk-aversive individuals using resting-state EEG data: A pilot feasibility studyReza Eyvazpour, Farhad Farkhondeh Tale Navi, Elmira Shakeri, et al.
Data in Brief|January 10, 2022
Neural activity in self-identified claustrophobic individuals under in-vivo stimuli: A human electroencephalography datasetDunya Moradi, Fariborz Rahimi, Reza Eyvazpour, et al.
Pageof 1