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EEG database of seizure disorders for experts and application developers

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George, S. Thomas [Karunya University] Balakrishnan, R. [PSG Institute of Medical Sciences and Research] Johnson, J. Stanly [Saudi European Petrochemical Company] Suviseshamuthu, Easter Selvan [UCL]

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.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès restreint
Publication date 2013
Language Anglais
Journal information "Clinical E E G and Neuroscience" - Vol. 45, no. 4, p. 304-309 (2013)
Peer reviewed yes
Publisher Electroencephalography and Clinical Neuroscience Society
issn 1550-0594
e-issn 2169-5202
Publication status Publié
Affiliation UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique
Links
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Bibliographic reference George, S. Thomas ; Balakrishnan, R. ; Johnson, J. Stanly ; Suviseshamuthu, Easter Selvan. EEG database of seizure disorders for experts and application developers. In: Clinical E E G and Neuroscience, Vol. 45, no. 4, p. 304-309 (2013)
Permanent URL http://hdl.handle.net/2078.1/133031