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Characterizing Cochlear implant artefact removal from EEG recordings using a real human model
Electroencephography (EEG) recordings from CI listeners are contaminated by electrical artefacts that make it difficult to extract neural responses. Previously, we have removed these artefacts by means of interpolation and spatial filtering. However, the extent to which this method can effectively r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374497/ https://www.ncbi.nlm.nih.gov/pubmed/34430265 http://dx.doi.org/10.1016/j.mex.2021.101369 |
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author | Undurraga, Jaime A. Van Yper, Lindsey Bance, Manohar McAlpine, David Vickers, Deborah |
author_facet | Undurraga, Jaime A. Van Yper, Lindsey Bance, Manohar McAlpine, David Vickers, Deborah |
author_sort | Undurraga, Jaime A. |
collection | PubMed |
description | Electroencephography (EEG) recordings from CI listeners are contaminated by electrical artefacts that make it difficult to extract neural responses. Previously, we have removed these artefacts by means of interpolation and spatial filtering. However, the extent to which this method can effectively reduce electrical artefacts has not been fully investigated. Here, we assessed the effectiveness of interpolation and spatial filtering to remove electrical artefacts using recordings from a human head specimen implanted with a CI. • Electrical artefacts were obtained using amplitude-modulated (AM'ed) pulse trains presented at several pulse rates (100-to-902 pps) or using high rate pulse trains (902 pps) in which either a pair of electrodes or AM frequencies alternated periodically at a rate of 1Hz. • By adding auditory change complex (ACC), auditory steady-state response (ASSR), or auditory change following response (AC-FR) template waveforms to the contaminated recordings, we show that interpolation allows for effective artefact removal for pulse rates below 400 pps whilst interpolation and spatial filtering are effective at higher pulse rates, with minimal distortions for ACC and AC-FR, and with a degree of amplitude- and phase-distortions for ASSR. • Recordings from CI listeners agreed with simulations, demonstrating that reliable responses can be recovered. |
format | Online Article Text |
id | pubmed-8374497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83744972021-08-23 Characterizing Cochlear implant artefact removal from EEG recordings using a real human model Undurraga, Jaime A. Van Yper, Lindsey Bance, Manohar McAlpine, David Vickers, Deborah MethodsX Method Article Electroencephography (EEG) recordings from CI listeners are contaminated by electrical artefacts that make it difficult to extract neural responses. Previously, we have removed these artefacts by means of interpolation and spatial filtering. However, the extent to which this method can effectively reduce electrical artefacts has not been fully investigated. Here, we assessed the effectiveness of interpolation and spatial filtering to remove electrical artefacts using recordings from a human head specimen implanted with a CI. • Electrical artefacts were obtained using amplitude-modulated (AM'ed) pulse trains presented at several pulse rates (100-to-902 pps) or using high rate pulse trains (902 pps) in which either a pair of electrodes or AM frequencies alternated periodically at a rate of 1Hz. • By adding auditory change complex (ACC), auditory steady-state response (ASSR), or auditory change following response (AC-FR) template waveforms to the contaminated recordings, we show that interpolation allows for effective artefact removal for pulse rates below 400 pps whilst interpolation and spatial filtering are effective at higher pulse rates, with minimal distortions for ACC and AC-FR, and with a degree of amplitude- and phase-distortions for ASSR. • Recordings from CI listeners agreed with simulations, demonstrating that reliable responses can be recovered. Elsevier 2021-04-25 /pmc/articles/PMC8374497/ /pubmed/34430265 http://dx.doi.org/10.1016/j.mex.2021.101369 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Method Article Undurraga, Jaime A. Van Yper, Lindsey Bance, Manohar McAlpine, David Vickers, Deborah Characterizing Cochlear implant artefact removal from EEG recordings using a real human model |
title | Characterizing Cochlear implant artefact removal from EEG recordings using a real human model |
title_full | Characterizing Cochlear implant artefact removal from EEG recordings using a real human model |
title_fullStr | Characterizing Cochlear implant artefact removal from EEG recordings using a real human model |
title_full_unstemmed | Characterizing Cochlear implant artefact removal from EEG recordings using a real human model |
title_short | Characterizing Cochlear implant artefact removal from EEG recordings using a real human model |
title_sort | characterizing cochlear implant artefact removal from eeg recordings using a real human model |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374497/ https://www.ncbi.nlm.nih.gov/pubmed/34430265 http://dx.doi.org/10.1016/j.mex.2021.101369 |
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