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KMID : 1160420200020020040
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Epilia: Epilepsy Commun
2020 Volume.2 No. 2 p.40 ~ p.44
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Prospects of Seizure Prediction Technology for Patients with Epilepsy
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Kim Tae-Joon
Jung Ki-Young
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Abstract
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Epilepsy, which is characterized by recurrent seizures, is a relatively common disorder. For patients with drug-refractory epilepsy, it is necessary to forecast and cope with seizures since they cause accidents and diminish quality of life. Seizure prediction is challenging, but numerous studies have investigated methods of detecting the physical changes preceding seizures. Attempts are being made to use wearable devices to deploy technologies that recognize limb movements or changes in the autonomic nervous system and associated heart rate variability. The most researched field is electroencephalography, with the goal of identifying electrical abnormalities before seizures with high sensitivity through deep learning models. If we overcome the limitations of practical applications, seizure prediction technology will change the paradigm of epilepsy treatment.
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KEYWORD
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Seizure, Epilepsy, Prediction
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