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Peripheral Nerve Signal Processing, Denoising

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Encyclopedia of Computational Neuroscience
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Synonyms

Filtering; Noise attenuation; Noise cancellation

Definition

A signal-processing method used to decrease or eliminate noise from a peripheral nerve recording through the attenuation or estimation and subtraction of the components of the raw electroneurogram of non-nerve action potential origin or not of interest.

Detailed Description

The raw electrical activity obtained through electrodes placed in or around the peripheral nerve consists of the extracellularly measured propagating action potentials of the active fibers within the nerve bundle along with the superimposed electrical pickup from other nearby bioelectrically active tissues and non-bioelectric sources. Since the signal of interest, the nerve activity, can be orders of magnitude smaller than the noise in the raw electroneurograms, signal processing to denoise the recording is necessary. Noise attenuation or denoising is an optimization that maximizes the signal and minimizes the noise to improve the signal-to-noise...

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Correspondence to Ken Yoshida .

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© 2014 Springer Science+Business Media New York

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Yoshida, K. (2014). Peripheral Nerve Signal Processing, Denoising. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_215-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_215-1

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  • Online ISBN: 978-1-4614-7320-6

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