脑电图检测和智能诊断系统的研究

Study on detection and intelligent diagosis system for EEG

脑电图已广泛应用于脑部疾病和神经系统疾病诊断中,脑电图的检测和智能诊断在临床上很有意义。通过数据采集、滤波、特征提取获得波形特征参数,送入已训练好的神经网络进行分类,再利用专家系统结合专家的经验根据病情对疾病做出诊断,为医生提供辅助诊断。文中综合了多种智能方法应用于不同阶段,这种研究方法也适用于其它生物电医疗诊断系统。

EEG has been widely used in diagnosis of brain disease and neural system disease. Intelligent detection and diagnosis of EEG have good use in clinical treatment.At first,collecting data, filtering waves, and extracting features,the wave parameters can be obtained, then waves are to be classified by inputing these parameters to trained neural network, finally expert system makes diagnosis on disease according to disease symptoms. It can help doctors make diagnosis. The system integrates several intelligent methods in the different phases of EEG detecting and diagnosing process. The research idea can also be applied to other medical diagnosis systems with bioelectricity.