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Title: Electrically evoked compound action potentials artefact rejection by independent component analysis: Procedure automation
Authors: Akhoun, Idrick
McKay, Colette
El-deredy, Wael
Keywords: Artefact
Cochlear implant
Electrically-evoked compound action potential (ECAP)
Independent component analysis (ICA)
Issue Date: 15-Jan-2015
Publisher: Elsevier B.V
Citation: Akhoun, I., C. M. McKay & W. El-deredy (2015). Electrically evoked compound action potentials artefact rejection by independent component analysis: Procedure automation. Journal of Neuroscience Methods 239: 85-93.
Abstract: BACKGROUND: Independent-components-analysis (ICA) successfully separated electrically-evoked compound action potentials (ECAPs) from the stimulation artefact and noise (ECAP-ICA, Akhoun et al., 2013). NEW METHOD: This paper shows how to automate the ECAP-ICA artefact cancellation process. Raw-ECAPs without artefact rejection were consecutively recorded for each stimulation condition from at least 8 intra-cochlear electrodes. Firstly, amplifier-saturated recordings were discarded, and the data from different stimulus conditions (different current-levels) were concatenated temporally. The key aspect of the automation procedure was the sequential deductive source categorisation after ICA was applied with a restriction to 4 sources. The stereotypical aspect of the 4 sources enables their automatic classification as two artefact components, a noise and the sought ECAP based on theoretical and empirical considerations. RESULTS: The automatic procedure was tested using 8 cochlear implant (CI) users and one to four stimulus electrodes. The artefact and noise sources were successively identified and discarded, leaving the ECAP as the remaining source. The automated ECAP-ICA procedure successfully extracted the correct ECAPs compared to standard clinical forward masking paradigm in 22 out of 26 cases. COMPARISON WITH EXISTING METHOD(S): ECAP-ICA does not require extracting the ECAP from a combination of distinct buffers as it is the case with regular methods. It is an alternative that does not have the possible bias of traditional artefact rejections such as alternate-polarity or forward-masking paradigms. CONCLUSIONS: The ECAP-ICA procedure bears clinical relevance, for example as the artefact rejection sub-module of automated ECAP-threshold detection techniques, which are common features of CI clinical fitting software.
URI: http://repository.bionicsinstitute.org:8080/handle/123456789/148
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