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Med Eng Phys. 2017 Feb;40:47-55. doi: 10.1016/j.medengphy.2016.11.009. Epub 2016 Dec 20.

A novel method for extraction of neural response from single channel cochlear implant auditory evoked potentials.

Author information

1
Department of Electrical Engineering, Rochester Institute of Technology, United States.
2
Department of Speech, Language, and Hearing Sciences, University of Connecticut, United States.
3
Department of Computer and Electrical Engineering, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, United States. Electronic address: bghoraani@fau.edu.

Abstract

Cortical auditory evoked potentials (CAEP) are used to evaluate cochlear implant (CI) patient auditory pathways, but the CI device produces an electrical artifact, which obscures the relevant information in the neural response. Currently there are multiple methods, which attempt to recover the neural response from the contaminated CAEP, but there is no gold standard, which can quantitatively confirm the effectiveness of these methods. To address this crucial shortcoming, we develop a wavelet-based method to quantify the amount of artifact energy in the neural response. In addition, a novel technique for extracting the neural response from single channel CAEPs is proposed. The new method uses matching pursuit (MP) based feature extraction to represent the contaminated CAEP in a feature space, and support vector machines (SVM) to classify the components as normal hearing (NH) or artifact. The NH components are combined to recover the neural response without artifact energy, as verified using the evaluation tool. Although it needs some further evaluation, this approach is a promising method of electrical artifact removal from CAEPs.

KEYWORDS:

Artifact suppression; Auditory evoked potentials; Cochlear implant; Electroencephalography; Time–frequency analysis

PMID:
28007497
DOI:
10.1016/j.medengphy.2016.11.009
[Indexed for MEDLINE]

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