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Recursive artifact windowed–single tone extraction method (RAW–STEM) as periodic noise filter for electrophysiological signals with interfering transients by Tongsheng Zhang; Yoshio Okada is a Neuroscience article available to read on EtoBox.

What is Recursive artifact windowed–single tone extraction method (RAW–STEM) as periodic noise filter for electrophysiological signals with interfering transients about?

The single tone extraction method (STEM) is a well developed algorithm for estimating the frequency, amplitude, and phase of one periodic signal or a single tone in complex temporal signals. This method is useful in neuroscience research since it provides an efficient simple means to remove line frequency noise present in many types of signal measurements. However, the method encounters problems when the signal contains transients such as a stimulus artifact which distort the estimation of power line parameters. Here we report a modification of STEM that overcomes this limitation. In this new method we call recursive artifact windowed (RAW)-STEM, the line frequency noise is removed for each single epoch by estimating the three parameters (frequency, amplitude and phase) of each line frequency after windowing the time period containing an interfering transient and iteratively applying the STEM. In a simulation study we evaluated its performance for electrophysiological data with a stimulus artifact and demonstrated advantages of the RAW-STEM over the classic STEM. The RAW-STEM is able to efficiently extract the 60 Hz parameter, requiring less than five iterations, with a precision o

Who reads Recursive artifact windowed–single tone extraction method (RAW–STEM) as periodic noise filter for electrophysiological signals with interfering transients?

Author

Tongsheng Zhang; Yoshio Okada

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0165-0270)

Published

2006

Language

EN

Field

Neuroscience (Life Sciences)