Reduction of stimulation coherent artifacts in electrically evoked auditory brainstem responses. (August 2015)

• Record Type: Journal Article
• Authors: Hu, Hongmei; Kollmeier, Birger; Dietz, Mathias
• Is Part Of: Biomedical signal processing and control. Volume 21(2015)
• Page Start: 74
• Page End: 81
• Publication Date: 2015-08
• Subjects: Electrically evoked auditory brainstem response -- Cochlear implant -- Artifacts -- Facial nerve stimulation -- Principle component analysis; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2015.05.015
• Languages: English
• ISSNs: 1746-8094

Abstract

Highlights: 61-channel auditory brainstem responses from bilateral cochlear implant subjects. A customized EEG cap is presented with holes at the cochlear implant coil locations. Facial nerve stimulation artifacts contaminate the wave eV in some CI subjects. Principle component analysis was applied to remove the facial nerve artifacts. Electric pulse artifact reduction strategies applied with bilateral stimulation. Abstract: The electrically evoked auditory brainstem response (eABR) is one of the clinically employed objective evaluation tools for cochlear implant (CI) subjects. It is commonly obtained by averaging responses, but because of the electric CI stimulation, some artifacts are phase locked to the stimulus and do not average out by increasing repetitions. A series of artifact reduction methods, such as general post-processing procedures for all subjects and individual post-processing procedures for some subjects, were developed in this study, aiming at reducing CI stimulation coherent artifacts. Seven bilateral CI subjects were recruited, and both monaural and binaural multi-channel eABRs were recorded in this study. The results show that the CI stimulation pulse artifacts can be efficiently removed by the general post-processing procedure, using alternating polarity stimuli combined with linear interpolation. Recordings obtained with non-alternating polarity show a strong exponential decay. Exponential fitting and subtraction worked reasonably well in this case. For eABR recordings contaminated with facial nerve stimulation (FNS) artifacts, principle component analysis was introduced to minimize the FNS artifacts for potential clinic application in the future.