Action potential detection with automatic template matching.
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.
Kim
S
S
Biomedical Signal Processing Laboratory, Electrical and Computer Engineering, Portland State University, OR, USA.
McNames
J
J
Burchiel
K
K