Quaternion Common Spatial Patterns
File(s)
Accepted version
Author(s)
Enshaeifar, S
Took, CC
Park, C
Mandic, DP
Type
Journal Article
Abstract
A novel quaternion-valued common spatial patterns (QCSP) algorithm is introduced to model co-channel coupling of multi-dimensional processes. To cater for the generality of quaternion-valued non-circular data, we propose a generalized QCSP (G-QCSP) which incorporates the information on power difference between the real and imaginary parts of data channels. As an application, we demonstrate how G-QCSP can be used to provide high classification rates, even at a signal-to-noise ratio (SNR) as low as -10 dB. To illustrate the usefulness of our method in EEG analysis, we employ G-QCSP to extract features for discriminating between imagery left and right hand movements. The classification accuracy using these features is 70%. Furthermore, the proposed method is used to distinguish between Parkinson's disease (PD) patients and healthy control subjects, providing an accuracy of 87%.
Date Issued
2016-11-03
Date Acceptance
2016-10-24
Citation
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2016, 25 (8), pp.1278-1286
ISSN
1534-4320
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Start Page
1278
End Page
1286
Journal / Book Title
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
Volume
25
Issue
8
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Rosetrees Trust
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000407478000021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
N/A
N/A
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Biomedical
Rehabilitation
Engineering
Augmented statistics
common spatial pattern
quaternion domain
MOTOR IMAGERY
CLASSIFICATION
FILTERS
SIGNALS
MU
0903 Biomedical Engineering
0906 Electrical And Electronic Engineering
Biomedical Engineering
Publication Status
Published