DocumentCode
464484
Title
Detection and Characterization of Neural Spikes
Author
Chan, Hsiao-Lung ; Lin, Ming-An ; Wu, Yu-Li ; Lai, Hsin-Yi ; Lee, Shih-Tseng ; Yang, Jin-Fu ; Fang, Shih-Chin
Author_Institution
Department of Electrical Engineering, Chang Gung University, Taiwan; Center of Medical Augmented Virtual Reality, Chang Gung University, Taiwan. chanhl@mail.cgu.edu.tw
fYear
2006
fDate
17-19 July 2006
Firstpage
1
Lastpage
4
Abstract
in this paper the characteristics of neural spikes in deep brain recording were investigated. The adaptive spike thresholding was used to detect the neural spikes, and the autoregressive model was proposed to differentiate neural spikes and background potentials. Our preliminary results indicated there appears a higher firing rate, more concentrated inter-spike interval histogram and more correlated spike train in the neural signal recorded in substantia Nigra compared to the signals in reticulate subthalamic nucleus.
Keywords
Autocorrelation; Autoregressive model; Firing rate; Inter-spike interval; Microelectrode recording; Spike detection;
fLanguage
English
Publisher
iet
Conference_Titel
Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On
Conference_Location
Glasgow, UK
Print_ISBN
978-0-86341-658-3
Type
conf
Filename
4225251
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