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Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques
Joint Authors
Fergus, Paul
Hignett, David
Hussain, Abir
Al-Jumeily, Dhiya
Abdel-Aziz, Khaled
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-29
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by recurrent, involuntary, paroxysmal seizure activity, which is often associated with a clinicoelectrical correlate on the electroencephalogram.
The diagnosis of epilepsy is usually made by a neurologist but can be difficult to be made in the early stages.
Supporting paraclinical evidence obtained from magnetic resonance imaging and electroencephalography may enable clinicians to make a diagnosis of epilepsy and investigate treatment earlier.
However, electroencephalogram capture and interpretation are time consuming and can be expensive due to the need for trained specialists to perform the interpretation.
Automated detection of correlates of seizure activity may be a solution.
In this paper, we present a supervised machine learning approach that classifies seizure and nonseizure records using an open dataset containing 342 records.
Our results show an improvement on existing studies by as much as 10% in most cases with a sensitivity of 93%, specificity of 94%, and area under the curve of 98% with a 6% global error using a k-class nearest neighbour classifier.
We propose that such an approach could have clinical applications in the investigation of patients with suspected seizure disorders.
American Psychological Association (APA)
Fergus, Paul& Hignett, David& Hussain, Abir& Al-Jumeily, Dhiya& Abdel-Aziz, Khaled. 2015. Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques. BioMed Research International،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1057494
Modern Language Association (MLA)
Fergus, Paul…[et al.]. Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques. BioMed Research International No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1057494
American Medical Association (AMA)
Fergus, Paul& Hignett, David& Hussain, Abir& Al-Jumeily, Dhiya& Abdel-Aziz, Khaled. Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1057494
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057494