[HTML][HTML] A comprehensive review on motion trajectory reconstruction for EEG-based brain-computer interface

P Wang, X Cao, Y Zhou, P Gong… - Frontiers in …, 2023 - frontiersin.org
The advance in neuroscience and computer technology over the past decades have made
brain-computer interface (BCI) a most promising area of neurorehabilitation and …

3D hand motion trajectory prediction from EEG mu and beta bandpower

A Korik, R Sosnik, N Siddique, D Coyle - Progress in brain research, 2016 - Elsevier
A motion trajectory prediction (MTP)-based brain–computer interface (BCI) aims to
reconstruct the three-dimensional (3D) trajectory of upper limb movement using …

Noninvasive brain-computer interface: decoding arm movement kinematics and motor control

N Robinson, AP Vinod - IEEE Systems, Man, and Cybernetics …, 2016 - ieeexplore.ieee.org
Over the last few decades, the advances in disciplines such as neuroscience and
engineering have introduced the brain-computer interface (BCI) as a promising tool for …

Reconstruction of hand, elbow and shoulder actual and imagined trajectories in 3D space using EEG slow cortical potentials

R Sosnik, OB Zur - Journal of neural engineering, 2020 - iopscience.iop.org
Objective. The ability to decode kinematics of imagined movement from neural activity is
essential for the development of prosthetic devices that can aid motor-disabled persons. To …

[HTML][HTML] Decoding imagined 3D arm movement trajectories from EEG to control two virtual arms—a pilot study

A Korik, R Sosnik, N Siddique, D Coyle - Frontiers in neurorobotics, 2019 - frontiersin.org
Background: Realization of online control of an artificial or virtual arm using information
decoded from EEG normally occurs by classifying different activation states or voluntary …

[HTML][HTML] The advantage of low-delta electroencephalogram phase feature for reconstructing the center-out reaching hand movements

H Zeng, Y Sun, G Xu, C Wu, A Song, B Xu… - Frontiers in …, 2019 - frontiersin.org
It is an emerging frontier of research on the use of neural signals for prosthesis control, in
order to restore lost function to amputees and patients after spinal cord injury. Compared to …

Neural signal processing techniques to analyse motor functions in EEG-based brain-computer interfaces

SH Vikram - 2018 - dr.ntu.edu.sg
The electroencephalogram (EEG)-based Brain-Computer Interface (BCI) provides an
alternative pathway to transmit neural information to a computer. Nowadays, EEG-based …

[PDF][PDF] Ηλεκτροεγκεφαλογραφικά και ηλεκτρομυογραφικά σήματα στα νευρο-ρομποτικά συστήματα

Χ Μαυρίδης - 2017 - dspace.lib.ntua.gr
Περίληψη Τα τελευταία χρόνια, παρατηρείται ολοένα αυξανόμενο ενδιαφέρον για τα
συστήματα διασύνδεσης ανθρώπου-ρομπότ (Human-Robot Interaction) ιδιαίτερα με τη …

[PDF][PDF] Noninvasive Brain–Computer Interface

N Robinson, AP Vinod - 2016 - ieeesmc.org
Background The primary focus area of BCI research is the neurological disorders that affect
the motor cortex of the brain, leaving the patients with severe motor disabilities and loss of …

[PDF][PDF] Akademischer Werdegang

D van Compernolle - 2014 - csl.uni-bremen.de
Stand 05/2014 ca. 280 Publikationen in Büchern, Buchkapiteln, internationalen Zeitschriften
und peer-reviewed Konferenzbänden; h-index 36, 4900 Zitierungen (scholar. google …