Various epileptic seizure detection techniques using biomedical signals: a review
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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The human brain processes sensory information received by external/internal stimuli. Human brain is an organic electrochemical computer as neurons exploit chemical reaction to generate electricity [1]. Electroencephalogram (EEG) is a graphical record of ongoing electrical activity, which measures the changes of the electrical activity in term of voltage fluctuations of the brain through multipl...
متن کاملMultimodal Biomedical Signal Processing End Abstracts Integrating Video and Accelerometer Signals for Nocturnal Epileptic Seizure Detection
Epileptic seizure detection is traditionally done using video/electroencephalogram (EEG) monitoring, which is not applicable in a home situation. In recent years, attempts have been made to detect the seizures using other modalities. In this research we investigate if a combined usage of accelerometers attached to the limbs and video data would increase the performance compared to a single moda...
متن کاملEpileptic Seizure Detection by Exploiting Temporal Correlation of EEG Signals
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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ژورنال
عنوان ژورنال: Brain Informatics
سال: 2018
ISSN: 2198-4018,2198-4026
DOI: 10.1186/s40708-018-0084-z