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Automatic detection of seizures and spikes.

机译:自动检测癫痫发作和尖峰。

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摘要

The recording of seizures and spikes is of primary importance in the evaluation of epileptic patients. This is not always an easy process because these events can be rare and are usually unpredictable. Since the earliest days of computer analysis of the EEG, researchers have developed methods for the automatic detection of spikes and, more recently, of seizures. The problems are complex because spikes and seizures are not clearly defined and have extremely varied morphologies. Nevertheless, it has been possible to develop automatic detection methods that can be of great assistance during long-term monitoring of epileptic patients. No method is absolutely fail-safe and all require human validation, but they save a considerable amount of time in the interpretation of long recordings. Recent developments include detection of the patterns specific to newborns, and the possibility of warning a patient or observer that a seizure is starting.
机译:癫痫发作和尖峰的记录在癫痫患者的评估方面具有重要意义。 这并不总是一个简单的过程,因为这些事件可能是罕见的,通常是不可预测的。 自从最早的计算机分析的最早日子以来,研究人员已经开发了用于自动检测尖峰的方法,并且最近是癫痫发作的方法。 这些问题很复杂,因为没有明确定义尖峰和癫痫发作并具有极其不同的形态。 然而,有可能在癫痫患者的长期监测期间开发自动检测方法,这些方法可能具有很大的帮助。 没有方法绝对是故障安全,所有人都需要人力验证,但他们在衡量录音的解释中节省了相当大的时间。 最近的发展包括检测特定于新生儿的模式,以及警告癫痫发作开始的患者或观察者的可能性。

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