System and method for seizure detection using statistical and artificial intelligence analysis

A seizure detection system includes one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on an electroencephalogram activity of a patient. The one or more circuits are configured to: identify candidate seizures using a statistical analysis that identifies the candidate seizures based on changes in a non-linear characteristic of the EEG signal; determining to switch from using the statistical analysis to identify the candidate epileptic seizures to an artificial intelligence model; and switching from using the statistical analysis to identify the candidate seizures to using the EEG signal to identify the candidate seizures based on the artificial intelligence model. 一种癫痫发作检测系统，该癫痫发作检测系统包括一个或多个电路，该一个或多个电路被配置成接收基于患者的脑电活动生成的脑电图(EEG)信号。该一个或多个电路被配置成：利用统计学分析来识别候选癫痫发作，该统计学分析基于该EEG信号的非线性特征的变化来识别这些候选癫痫发作；确定从利用该统计学分析来识别这些候选癫痫发作切换到人工智能模型；以及从利用该统计学分析来识别这些候选癫痫发作切换到利用该EEG信号基于该人工智能模型来识别这些候选癫痫发作。