所属单位：中科院自动化所
教研室：复杂系统与智能科学重点实验室
发表刊物：EURASIP Journal on Advances in Signal Processing
刊物所在地：Hindawi Publishing Corporation
摘要：None of the current epileptic seizure prediction methods can widely be accepted, due to their poor consistency in performance. In this work, we have developed a novel approach to analyze intracranial EEG data. The energy of the frequency band of 4–12 Hz is obtained by wavelet transform. A dynamic model is introduced to describe the process and a hidden variable is included. The hidden variable can be considered as indicator of seizure activities. Themethod of particle filter associated with a neural network is used to calculate the hidden variable.
备注：WOS: 000269043800001; EI, Accession Number: 20093512270637
合写作者：王卓, Zhongyu Pang,Derong Liu*
论文类型：基础研究
文献类型：期刊
是否译文：否
发表时间：2009-06-22