DocumentCode :
2721214
Title :
Detecting tremors in microelectrode recordings without using a spike detector
Author :
Kim, S. ; McNames, J. ; Burchiel, K.
Author_Institution :
Biomedical Signal Process. Laboratory, Electr. & Comput. Eng., Portland State Univ., OR, USA
Volume :
1
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
357
Lastpage :
360
Abstract :
Tremor detection in extracellular neuronal recordings has required spike detection because tremors in extracellular neuronal recordings are caused by the fluctuation of action potential´s firing rate. This work describes an automatic tremor detection algorithm of extracellular neuronal recordings without using a spike detector. The new algorithm is robust to noise and its performance is not affected by various morphologies of action potentials.
Keywords :
bioelectric potentials; medical signal processing; microelectrodes; neurophysiology; action potential firing rate; extracellular neuronal recordings; microelectrode recordings; spike detector; tremor detection; Algorithm design and analysis; Detection algorithms; Detectors; Extracellular; Fluctuations; Frequency estimation; Frequency modulation; Microelectrodes; Pulse modulation; Signal processing algorithms; deep brain stimulator; extracellular neuronal recordings; microelectrode recording (MER); power spectra density (PSD); stereotactic surgery; tremor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403166
Filename :
1403166
Link To Document :
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