title: [Study on EEG signals data compression and spikes recognition with wavelet neural network].
abstract: A novel method of EEG signals compression representation and epileptiform spikes recognition based on wavelet neural network and its algorithm is presented in this paper. Wavelet network not only can compress data effectively but also can recover original signal. In addition the characteristics of the spikes and the spike-slow rhythm are detected automatically from the time-frequency isoline of EEG signal. This method can be generalized in the field of the electrophysiological signal processing and time-frequency analyzing.
authors.affiliation: Jinan Central Hospital.
authors.forename: A
authors.initials: A
authors.lastname: Yu
authors.forename: Y
authors.initials: Y
authors.lastname: Zhang
authors.forename: K
authors.initials: K
authors.lastname: Yu
mesh_terms: D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted