NDLI: Phase Locking Analysis of Motor Imagery in Brain-Computer Interface

Content Provider	IEEE Xplore Digital Library
Author	Jianfeng Hu Zhendong Mu Jinli Wang
Copyright Year	2008
Description	Author affiliation: Inst. of Inf. & Technol., JiangXi Blue Sky Univ., Nanchang (Jianfeng Hu)
Abstract	Currently existing brain-computer interfaces (BCIs) extract feature vectors derived from amplitude information. However, they were not use the rich phase dynamics in the EEG. Phase synchronization was opposed to use for classification of motor imagery. In suitable time window, the electrodes of C3, C4 and central regions to match were selected and then Hilbert transform signal processing method was used for extracting the degree of phase synchronization between two electroencephalogram (EEC) signals by calculating the so-called phase locking value (PLV). The support vector machine (SVM) was used for classification of the motor imagery by a feature selection algorithm. It shows that the satisfactory results are obtained with single-trial accuracies of 92.5% and that synchronization differences between motor imagery depends upon frequency selection , length of data and electrode selection .
Starting Page	478
Ending Page	481
File Size	373525
Page Count	4
File Format	PDF
ISBN	9780769531182
DOI	10.1109/BMEI.2008.51
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	motor imagery Electroencephalography phase locking Data mining Electrodes Support vector machines Brain-computer interface Image analysis Signal processing algorithms Support vector machine classification Feature extraction Frequency synchronization Brain computer interfaces
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An Improved CSP Algorithm and Application in Motor Imagery Recognition

EEG feature extraction and pattern classification based on motor imagery in brain-computer interface

Phase-locking factor in a motor imagery brain-computer interface

A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces

Phase Synchronization Analysis and Support Vector Machine for Recognition of Mental Tasks

BRAIN IMAGING AND SUPPORT VECTOR MACHINES FOR BRAIN COMPUTER INTERFACE

Multifeature Analysis in Motor Imagery EEG Classification

Determining AR order for BCI based on motor imagery

Subject-specific channel selection for classification of motor imagery electroencephalographic data

Phase Locking Analysis of Motor Imagery in Brain-Computer Interface

Similar Documents

An Improved CSP Algorithm and Application in Motor Imagery Recognition

EEG feature extraction and pattern classification based on motor imagery in brain-computer interface

Phase-locking factor in a motor imagery brain-computer interface

A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces

Phase Synchronization Analysis and Support Vector Machine for Recognition of Mental Tasks

BRAIN IMAGING AND SUPPORT VECTOR MACHINES FOR BRAIN COMPUTER INTERFACE

Multifeature Analysis in Motor Imagery EEG Classification

Determining AR order for BCI based on motor imagery

Subject-specific channel selection for classification of motor imagery electroencephalographic data

Phase Locking Analysis of Motor Imagery in Brain-Computer Interface