Correlation of EEG Band Power and Hand Motion Trajectory

Attila Korik; NH Siddique; Ronen Sosnik; Damien Coyle

doi:10.3217/978-3-85125-378-8-95

Correlation of EEG Band Power and Hand Motion Trajectory

Attila Korik, NH Siddique, Ronen Sosnik, Damien Coyle

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A preliminary analysis of the correlation between high resolution EEG and three dimensional (3D) hand motion trajectories is presented. The study involved assessing which EEG frequency components and cortical areas show the most significant correlation with hand motion trajectory towards five targets positioned in different locations in space. The time shift between time-power pattern of the selected EEG frequency and related motion trajectory is also analyzed. The results show strong correlation between EEG and kinetic data in low frequency (0.5-4Hz) range as well as significant correlations in the 28-36Hz range. The results indicate that these EEG frequency bands may best be used to develop an EEG-based brain-computer interface (BCI) for the decoding of 3D hand motion trajectories.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	TU Graz
Pages	73-76
Number of pages	4
DOIs	https://doi.org/10.3217/978-3-85125-378-8-95
Publication status	Published (in print/issue) - 2014
Event	6th International BCI Conference 2014 - Duration: 1 Jan 2014 → …

Conference

Conference	6th International BCI Conference 2014
Period	1/01/14 → …

Keywords

brain-computer interface
BCI
EEG
motor system

Access to Document

10.3217/978-3-85125-378-8-95

Cite this

@inproceedings{40383b62cfe04852baca3311e875a8bd,

title = "Correlation of EEG Band Power and Hand Motion Trajectory",

abstract = "A preliminary analysis of the correlation between high resolution EEG and three dimensional (3D) hand motion trajectories is presented. The study involved assessing which EEG frequency components and cortical areas show the most significant correlation with hand motion trajectory towards five targets positioned in different locations in space. The time shift between time-power pattern of the selected EEG frequency and related motion trajectory is also analyzed. The results show strong correlation between EEG and kinetic data in low frequency (0.5-4Hz) range as well as significant correlations in the 28-36Hz range. The results indicate that these EEG frequency bands may best be used to develop an EEG-based brain-computer interface (BCI) for the decoding of 3D hand motion trajectories.",

keywords = "brain-computer interface, BCI, EEG, motor system",

author = "Attila Korik and NH Siddique and Ronen Sosnik and Damien Coyle",

year = "2014",

doi = "10.3217/978-3-85125-378-8-95",

language = "English",

pages = "73--76",

booktitle = "Unknown Host Publication",

publisher = "TU Graz",

address = "Austria",

note = "6th International BCI Conference 2014 ; Conference date: 01-01-2014",

}

TY - GEN

T1 - Correlation of EEG Band Power and Hand Motion Trajectory

AU - Korik, Attila

AU - Siddique, NH

AU - Sosnik, Ronen

AU - Coyle, Damien

PY - 2014

Y1 - 2014

N2 - A preliminary analysis of the correlation between high resolution EEG and three dimensional (3D) hand motion trajectories is presented. The study involved assessing which EEG frequency components and cortical areas show the most significant correlation with hand motion trajectory towards five targets positioned in different locations in space. The time shift between time-power pattern of the selected EEG frequency and related motion trajectory is also analyzed. The results show strong correlation between EEG and kinetic data in low frequency (0.5-4Hz) range as well as significant correlations in the 28-36Hz range. The results indicate that these EEG frequency bands may best be used to develop an EEG-based brain-computer interface (BCI) for the decoding of 3D hand motion trajectories.

AB - A preliminary analysis of the correlation between high resolution EEG and three dimensional (3D) hand motion trajectories is presented. The study involved assessing which EEG frequency components and cortical areas show the most significant correlation with hand motion trajectory towards five targets positioned in different locations in space. The time shift between time-power pattern of the selected EEG frequency and related motion trajectory is also analyzed. The results show strong correlation between EEG and kinetic data in low frequency (0.5-4Hz) range as well as significant correlations in the 28-36Hz range. The results indicate that these EEG frequency bands may best be used to develop an EEG-based brain-computer interface (BCI) for the decoding of 3D hand motion trajectories.

KW - brain-computer interface

KW - BCI

KW - EEG

KW - motor system

UR - http://isrc.ulster.ac.uk/dcoyle/contact.html

U2 - 10.3217/978-3-85125-378-8-95

DO - 10.3217/978-3-85125-378-8-95

M3 - Conference contribution

SP - 73

EP - 76

BT - Unknown Host Publication

PB - TU Graz

T2 - 6th International BCI Conference 2014

Y2 - 1 January 2014

ER -

Correlation of EEG Band Power and Hand Motion Trajectory

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this