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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...
References
Citi L, Micera S (2013) Wavelet denoising and conditioning of neural recordings. In: Farina D, Jensen W, Akay M (eds) Introduction to neural engineering for motor rehabilitation. Wiley, Hoboken, pp 173–182
Citi L, Carpaneto J, Yoshida K, Hoffmann K-P, Koch KP, Dario P, Micera S (2008) On the use of wavelet denoising and spike sorting techniques to process electroneurographic signals recorded using intraneural electrodes. J Neurosci Methods 172(2):294–302. doi:10.1016/j.jneumeth.2008.04.025
Ge D, Farina D (2013) Spike sorting. In: Farina D, Jensen W, Akay M (eds) Introduction to neural engineering for motor rehabilitation. Wiley, Hoboken, pp 155–172
Mallat S (1999) A wavelet tour of signal processing. Academic, San Diego
Purves RD (1981) Microelectrode methods for intracellular recording and ionophoresis. Academic, London
Qiao S, Torkamani-Azar M, Salama P, Yoshida K (2012) Stationary wavelet transform and higher order statistical analyses of intrafascicular nerve recordings. J Neural Eng 9(5):056014. doi:10.1088/1741-2560/9/5/056014
Stein RB, Charles D, Davis L, Jhamandas J, Mannard A, Nichols TR (1975) Principles underlying new methods for chronic neural recording. Can J Neurol Sci 2(3):235–244
Strang G, Nguyen T (1997) Wavelets and filter banks. Wellesley-Cambridge Press, Wellesley
Webster JG, Clark JW (2010) Medical instrumentation: application and design. Wiley, Hoboken
Yoshida K, Stein RB (1999) Characterization of signals and noise rejection with bipolar longitudinal intrafascicular electrodes. IEEE Trans Biomed Eng 46(2):226–234
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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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