NDLI: Morphology-based wavelet features and multiple mother wavelet strategy for spike classification in EEG signals

Content Provider	IEEE Xplore Digital Library
Author	Jing Zhou Schalkoff, R.J. Dean, B.C. Halford, J.J.
Copyright Year	2012
Description	Author affiliation: Dept. of Neurosciences, Med. Univ. of South Carolina, Charleston, SC, USA (Halford, J.J.) \|\| Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA (Jing Zhou; Schalkoff, R.J.) \|\| Dept. of Comput. Sci., Clemson Univ., Clemson, SC, USA (Dean, B.C.)
Abstract	New wavelet-derived features and strategies that can improve autonomous EEG classifier performance are presented. Various feature sets based on the morphological structure of wavelet subband coefficients are derived and evaluated. The performance of these new feature sets is superior to Guler's classic features in both sensitivity and specificity. In addition, the use of (scalp electrode) spatial information is also shown to improve EEG classification. Finally, a new strategy based upon concurrent use of several mother wavelets is shown to result in increased sensitivity and specificity. Various attempts at reducing feature vector dimension are shown. A non-parametric method, k-NNR, is implemented for classification and 10-fold cross-validation is used for assessment.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	3959
Ending Page	3962
File Size	293988
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346833
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensitivity Vectors Feature extraction Electroencephalography Scalp Wavelet transforms Electrodes
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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

A study of morphology-based wavelet features and multiple-wavelet strategy for EEG signal classification: Results and selected statistical analysis

EEG seizure identification by using optimized wavelet decomposition

Discrete Wavelet Transform coefficients for emotion recognition from EEG signals

A self produced mother wavelet feature extraction method for motor imagery brain-computer interface

An algorithm for detecting seizure termination in scalp EEG

Brain tumor detection using scalp eeg with modified Wavelet-ICA and multi layer feed forward neural network

Spike detection in the preterm fetal sheep EEG using Haar wavelet analysis

Superiority of high frequency hypoxic ischemic EEG signals of fetal sheep for sharp wave detection using Wavelet-Type 2 Fuzzy classifiers

Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine

Morphology-based wavelet features and multiple mother wavelet strategy for spike classification in EEG signals

Similar Documents

A study of morphology-based wavelet features and multiple-wavelet strategy for EEG signal classification: Results and selected statistical analysis

EEG seizure identification by using optimized wavelet decomposition

Discrete Wavelet Transform coefficients for emotion recognition from EEG signals

A self produced mother wavelet feature extraction method for motor imagery brain-computer interface

An algorithm for detecting seizure termination in scalp EEG

Brain tumor detection using scalp eeg with modified Wavelet-ICA and multi layer feed forward neural network

Spike detection in the preterm fetal sheep EEG using Haar wavelet analysis

Superiority of high frequency hypoxic ischemic EEG signals of fetal sheep for sharp wave detection using Wavelet-Type 2 Fuzzy classifiers

Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine

Morphology-based wavelet features and multiple mother wavelet strategy for spike classification in EEG signals