Continuous Decoding of Hand Movement From EEG Signals Using Phase-Based Connectivity Features

Continuous Decoding of Hand Movement From EEG Signals Using Phase-Based Connectivity Features

The principal goal of the brain-computer interface (BCI) is to translate brain signals into meaningful commands to control external devices or neuroprostheses to restore lost functions of patients with severe motor disabilities. The invasive recording of brain signals involves numerous health issues...

Full description

Bibliographic Details
Main Authors: Seyyed Moosa Hosseini, Vahid Shalchyan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Human Neuroscience
Subjects:
brain computer interface (BCI)
phase-locking value (PLV)
magnitude-squared coherence (MSC)
electroencephalography (EEG)
multiple linear regression (MLR)
trajectory decoding
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.901285/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2022.901285/full

Similar Items