Action potential detection with automatic template matching

Author

Kim, S. ; McNames, J. ; Burchiel, K.

Author_Institution

Biomedical Signal Process. Laboratory, Portland State Univ., OR, USA

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

41

Lastpage

44

Abstract

Detecting action potentials has an important role in analyzing extracellular neuronal recordings. Current algorithms require subjective tuning by a user in the form of user-specified parameters. This work describes a fully automatic template-matching spike detection algorithm that does not require any tuning. This algorithm is robust to noise and performs better than an optimum threshold detection algorithm.

Keywords

bioelectric potentials; medical signal detection; medical signal processing; neurophysiology; action potential detection; automatic template-matching spike detection algorithm; extracellular neuronal recordings; optimum threshold detection algorithm; user-specified parameters; Background noise; Detection algorithms; Detectors; Extracellular; Frequency; Inspection; Libraries; Microelectrodes; Sampling methods; Signal processing algorithms; action potential; globus pallidus internus (GPi); microelectrode recording (MER); stereotactic deep brain stimulation (DBS) surgery; subthalamus nucleus (STN);

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.2004.1403085

Filename

1403085