Title :
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
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);
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
DOI :
10.1109/IEMBS.2004.1403085
