NDLI: Design Method of Morphological Structural Function for Pattern Recognition of EEG Signals During Motor Imagery and Cognition

Content Provider	IEEE Xplore Digital Library
Author	Yamaguchi, T. Fujio, M. Inoue, K. Pfurtscheller, G.
Copyright Year	2009
Abstract	Electroencephalograph (EEG) recordings during right and left hand motor imagery can be used to move a cursor to a target on a computer screen (such system is called BCI). Recently, we have proposed the detection method of Error Potential in order to add the fail safe function to BCI system. In this paper, feature extraction method based on morphological multi-resolution analysis is introduced to extract features concerned with motor imagery and cognition simultaneously from the EEG signals. Morphological filter is composed of nonlinear operation between signal and structural function and this multi-resolution analysis can be constructed by repeating this filtering to signal while changing structural function. This method is a kind of discrete wavelet analysis with non-linear characteristics and is effective to extract specific shapes. The structural function which decides the filter characteristic is designed to obtain optimal separation based on mutual information algorithm or spectrum dividing algorithm.
Starting Page	1558
Ending Page	1561
File Size	325699
Page Count	4
File Format	PDF
ISBN	9781424455430
e-ISBN	9781424455447
DOI	10.1109/ICICIC.2009.161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Image analysis Filtering Design methodology Computer errors Feature extraction Electroencephalography Cognition Pattern recognition Signal analysis
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

Feature extraction of EEG during motor imagery and cognition by using morphological MRA

Wavelet analysis of EEG signals during motor imagery

A multi-class pattern recognition method for motor imagery EEG data

Pattern Recognition of EEG Signal during Motor Imagery by Using SOM

Feature extraction of EEG signals during right and left motor imagery

Pattern Recognition of EEG Signals During Motor Imagery

Pattern recognition of EEG signals during motor imagery ~based on directed information analysis~

Classifying ECoG/EEG-Based Motor Imagery Tasks

Time sparsification of EEG signals in motor-imagery based brain computer interfaces

Design Method of Morphological Structural Function for Pattern Recognition of EEG Signals During Motor Imagery and Cognition

Similar Documents

Feature extraction of EEG during motor imagery and cognition by using morphological MRA

Wavelet analysis of EEG signals during motor imagery

A multi-class pattern recognition method for motor imagery EEG data

Pattern Recognition of EEG Signal during Motor Imagery by Using SOM

Feature extraction of EEG signals during right and left motor imagery

Pattern Recognition of EEG Signals During Motor Imagery

Pattern recognition of EEG signals during motor imagery ~based on directed information analysis~

Classifying ECoG/EEG-Based Motor Imagery Tasks

Time sparsification of EEG signals in motor-imagery based brain computer interfaces

Design Method of Morphological Structural Function for Pattern Recognition of EEG Signals During Motor Imagery and Cognition