Epileptic Seizure Detection Based on EEG Signals and CNN
نویسندگان
چکیده
منابع مشابه
Epileptic Seizure Detection in EEG signals Using TQWT and SVM-GOA Classifier
Background: Epilepsy is a Brain disorder disease that affects people's quality of life. If it is diagnosed at an early stage, it will not be spread. Electroencephalography (EEG) signals are used to diagnose epileptic seizures. However, this screening system cannot diagnose epileptic seizure states precisely. Nevertheless, with the help of computer-aided diagnosis systems (CADS), neurologists ca...
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Brain disorders include Alzheimer’s disease, learning disability, traumatic brain injury, stroke, emotional disorders, seizures, attention deficit disorder, etc....Seizures occasionally known as a ‘fit’ are most commonly occurring brain disorder among humans. Sometimes, a person may have seizure without aura. It is very tedious and expensive to have a person constantly observe each patient and ...
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Electroencephalogram (EEG), a record of electrical signal to represent the human brain activity, has great potential for the diagnosis to treatment of mental disorder and brain diseases such as epileptic seizure. Features extraction and classification of EEG signals is the crucial task to detect the stage of ictal (i.e., seizure period) and interictal (i.e., period between seizures) signals for...
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Electroencephalogram (EEG) is a recording of electrical activity of the brain and it contains valuable information related to the different physiological states of the brain. A quantitative EEG analysis has been developed over the years that introduce objective measure, reflecting not only the characteristics of the brain activity itself but also giving clues concerning the underlying associate...
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In this paper, we present a novel epileptic seizure detection algorithm based on analysis of electroencephalogram (EEG) and electrocardiogram (ECG) signals to detect seizure onsets that are not associated with rhythmic EEG activity. In this algorithm, spectral and spatial features are extracted from seizure and non-seizure EEG signals by Gabor functions and combined with four extracted features...
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ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2018
ISSN: 1662-5196
DOI: 10.3389/fninf.2018.00095