Literature DB >> 24357675

EEG Database of Seizure Disorders for Experts and Application Developers.

Thomas George Selvaraj1, Balakrishnan Ramasamy2, Stanly Johnson Jeyaraj3, Easter Selvan Suviseshamuthu4.   

Abstract

This article presents an online accessible electroencephalogram (EEG) database, where the EEG recordings comprise abnormal patterns such as spikes, poly spikes, slow waves, and sharp waves to help diagnose related disorders. The data, as of now, are a collection of EEGs from a diagnostic center in Coimbatore, Tamil Nadu, India, and the data samples pertain to an age-group ranging from 1 to 107 years. Eventually, the EEG data concerning other disorders as well as those from other institutions will be included. The present database provides information under the following categories: major classification of the disorder, patient's record, digitized EEG, and specific diagnosis; in addition, a search facility is incorporated into the database. The mode of access by the domain experts, application developers, and researchers, along with a few classical applications are explained in this article. With the advance of clinical neuroscience, this database will be helpful in developing software for applications such as diagnosis and treatment. © EEG and Clinical Neuroscience Society (ECNS) 2013.

Entities:  

Keywords:  EEG database; EEGLAB toolbox; independent component analysis (ICA); quantitative electroencephalography (QEEG); seizure disorders

Mesh:

Year:  2013        PMID: 24357675     DOI: 10.1177/1550059413500960

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  1 in total

1.  The Temple University Hospital EEG Data Corpus.

Authors:  Iyad Obeid; Joseph Picone
Journal:  Front Neurosci       Date:  2016-05-13       Impact factor: 4.677

  1 in total

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