A Review on Automated Detection of Non-convulsive Seizures Using EEG

A. Q. Ansari, Priyanka Sharma
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引用次数: 5

Abstract

Seizures are mainly categorized as convulsive seizures and non-convulsive seizures. Diagnosis of convulsive seizures is easy due to its evident clinical manifestations. While these seizures can be the basis of neuronal damage, treatment is provided at the early stage due to its easy clinical diagnosis. On the other hand non-convulsive seizures lack convulsions. However, it too can cause neuronal damage. It can have fluctuating symptoms coupled with the mental state variation which makes the clinical diagnosis of it very difficult. Thus, it is frequently missed in patients of changed mental state. To confirm the diagnosis EEG is needed. This study gives an overview on the detection methods of non-convulsive seizures.
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脑电图自动检测非惊厥发作的研究进展
癫痫发作主要分为惊厥性发作和非惊厥性发作。惊厥发作的临床表现明显,容易诊断。虽然这些癫痫发作可能是神经元损伤的基础,但由于其易于临床诊断,因此可以在早期阶段提供治疗。另一方面,非惊厥性发作没有惊厥。然而,它也会导致神经元损伤。它可以有波动的症状加上精神状态的变化,这使得它的临床诊断非常困难。因此,在精神状态改变的患者中,它经常被遗漏。要确诊需要脑电图。本研究概述了非惊厥性癫痫发作的检测方法。
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