EEG seizure detection and prediction algorithms: a survey
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چکیده
منابع مشابه
EEG seizure detection and prediction algorithms: a survey
Epilepsy patients experience challenges in daily life due to precautions they have to take in order to cope with this condition. When a seizure occurs, it might cause injuries or endanger the life of the patients or others, especially when they are using heavy machinery, e.g., deriving cars. Studies of epilepsy often rely on electroencephalogram (EEG) signals in order to analyze the behavior of...
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Research in automatic analysis of EEG for supporting the diagnosis of epileptic seizures took pace in the 1970s. Prior et al [45] suggested the use of a device called cerebral function monitor to demarcate generalized tonic-clonic seizures. These could be identified as a large increase in EEG amplitude followed by an observable decrease and by large EMG activity. Method described by Ives et al ...
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S EIZURE forecasting systems hold promise for improving the quality of life for patients with epilepsy. One proposed forecasting method relies on continuous intracranial electroencephalography (iEEG) recording to look for telltale feature sets in EEG data that suggest imminent seizure threats. In order for EEG –based seizure forecasting systems to work effectively, computational algorithms must...
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in recent decades, seizure prediction caused a lot of research in both signal processing and neuroscience field. the researches tried to enhance the conventional seizure prediction algorithms such that rate of the false alarms be appropriately small so that seizures can be predicted according to clinical standards. up to now none of the proposed algorithms have been sufficiently adequate. in th...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2014
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2014-183