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Spike Detection Using the Continuous Wavelet Transform
2005
IEEE Transactions on Biomedical Engineering
This paper combines wavelet transforms with basic detection theory to develop a new unsupervised method for robustly detecting and localizing spikes in noisy neural recordings. The method does not require the construction of templates, or the supervised setting of thresholds. We present extensive Monte Carlo simulations, based on actual extracellular recordings, to show that this technique surpasses other commonly used methods in a wide variety of recording conditions. We further demonstrate
doi:10.1109/tbme.2004.839800
pmid:15651566
fatcat:625d4gg525f2hdqtxnbtgrd3uu