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2014•Unpublished venueRequires access

Early detection of epilepsy using EEG signals

S. Selvin Pradeep Kumar, L. Ajitha

Open publisher page 20 citations

Abstract

EEG (Electroencephalograph) is a technique for identifying neurological disorders. Epilepsy is a disorder of the central nervous system characterized by loss of consciousness and convulsions. EEG is the recording of electrical activity of the brain signals that can be used to diagnose the epilepsy condition. Epilepsy occurs irregularly and unpredictably manner due to temporary electrical disturbance of the brain. The aim of this project is Epileptic seizure detection in multichannel EEG. In this paper, the normal, pre-ictal (background) and ictal (epileptic) EEG signals are studied using higher order spectra (HOS). This paper deals with the study of the normal, pre-ictal (background) and ictal (epileptic) EEG signals using Higher Order Spectra (HOS). The measures obtained were shown which distinguish epileptic EEG from normal and background EEG with high confident level.

About this research paper

What this paper is about

EEG (Electroencephalograph) is a technique for identifying neurological disorders. Epilepsy is a disorder of the central nervous system characterized by loss of consciousness and convulsions. EEG is the recording of electrical activity of the brain signals that can be used to diagnose the epilepsy condition. Epilepsy occurs irregularly and unpredictably manner due to temporary electrical disturbance of the brain. The aim of this project is Epileptic seizure detection in multichannel EEG. In this paper, the normal, pre-ictal (background) and ictal (epileptic) EEG signals are studied using higher order spectra (HOS). This paper deals with the study of the normal, pre-ictal (background) and ictal (epileptic) EEG signals using Higher Order Spectra (HOS). The measures obtained were shown which distinguish epileptic EEG from normal and background EEG with high confident level.

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Available abstract

EEG (Electroencephalograph) is a technique for identifying neurological disorders. Epilepsy is a disorder of the central nervous system characterized by loss of consciousness and convulsions. EEG is the recording of electrical activity of the brain signals that can be used to diagnose the epilepsy condition. Epilepsy occurs irregularly and unpredictably manner due to temporary electrical disturbance of the brain. The aim of this project is Epileptic seizure detection in multichannel EEG. In this paper, the normal, pre-ictal (background) and ictal (epileptic) EEG signals are studied using higher order spectra (HOS). This paper deals with the study of the normal, pre-ictal (background) and ictal (epileptic) EEG signals using Higher Order Spectra (HOS). The measures obtained were shown which distinguish epileptic EEG from normal and background EEG with high confident level.

Key concepts: Electroencephalography, Epilepsy, Ictal, Epileptic seizure, Neuroscience, Audiology, EEG-fMRI, Psychology

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