DocumentCode :
2145047
Title :
Wavelet Entropy Analysis of Neural Spike Train
Author :
Zheng, Xuyuan ; Sun, Mingui ; Tian, Xin
Author_Institution :
Dept. of Biomed. Eng., Tianjin Med. Univ., Tianjin
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
225
Lastpage :
227
Abstract :
Entropy based on the wavelet transform reflects the degree of order/disorder of the signals. It can provide additional information about the underlying dynamical process associated with the signal. Our aim was to demonstrate the applicability of wavelet entropy measures to analysis of neural firing of normal rats and temporal lobe epilepsy (TLE) rats. TLE neurons occurred at lower total wavelet entropy values compared with normal hippocampus neurons (PLt0.001). And also the time-dependent wavelet entropy is relatively lower in TLE rats. The Wavelet Entropy may be a useful tool for quantitatively measuring the level of synchrony of neural firing. It seems to provide evidence that abnormal epileptogenic neuronal discharge properties also exit in single neuron level.
Keywords :
signal processing; wavelet transforms; abnormal epileptogenic neuronal discharge properties; dynamical process; neural spike train; normal hippocampus neurons; single neuron level; temporal lobe epilepsy; time-dependent wavelet entropy; wavelet entropy measures; Electroencephalography; Entropy; Epilepsy; Frequency domain analysis; Neurons; Rats; Signal analysis; Signal resolution; Wavelet analysis; Wavelet transforms; ISI; spike train; temporal lobe epilepsy; wavelet entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.530
Filename :
4566153
Link To Document :
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