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 or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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
Place of Publication	Austria
Publisher	Verlag der Technischen Universitat Graz
Pages	73-76
Number of pages	4
DOIs	https://doi.org/10.3217/978-3-85125-378-8-95
Publication status	Published - 1 Jan 2014

Bibliographical note

6th International BCI Conference 2014 ; Conference date: 01-01-2014

Keywords

brain-computer interface
BCI
EEG
motor system

Access to Document

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

Cite this

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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",

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

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

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AU - Korik, Attila

AU - Siddique, NH

AU - Sosnik, Ronen

AU - Coyle, Damien

N1 - 6th International BCI Conference 2014 ; Conference date: 01-01-2014

PY - 2014/1/1

Y1 - 2014/1/1

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

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

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

M3 - Chapter in a published conference proceeding

SP - 73

EP - 76

BT - Unknown Host Publication

PB - Verlag der Technischen Universitat Graz

CY - Austria

ER -

Correlation of EEG Band Power and Hand Motion Trajectory

Abstract

Bibliographical note

Keywords

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Cite this