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Automated detection of electrically evoked stapedius reflexes (eSR) during cochlear implantation
INTRODUCTION: In cochlear implantation, objective fitting methods are needed to optimize audiological results in small children or patients with poor compliance. Intraoperatively measured electrically evoked stapedius reflexes (eSR) can be used as a marker for the patient’s discomfort level. The aim...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131305/ https://www.ncbi.nlm.nih.gov/pubmed/32748185 http://dx.doi.org/10.1007/s00405-020-06226-x |
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author | Weiss, Nora M. Óvári, Attila Oberhoffner, Tobias Demaret, Laurent Bicer, Atabek Schraven, Sebastian Ehrt, Karsten Dahl, Rüdiger Schneider, Armin Mlynski, Robert |
author_facet | Weiss, Nora M. Óvári, Attila Oberhoffner, Tobias Demaret, Laurent Bicer, Atabek Schraven, Sebastian Ehrt, Karsten Dahl, Rüdiger Schneider, Armin Mlynski, Robert |
author_sort | Weiss, Nora M. |
collection | PubMed |
description | INTRODUCTION: In cochlear implantation, objective fitting methods are needed to optimize audiological results in small children or patients with poor compliance. Intraoperatively measured electrically evoked stapedius reflexes (eSR) can be used as a marker for the patient’s discomfort level. The aim of this study was to develop and evaluate an automated detection method for eSR and to compare it to the detection rate of the surgeon and independent observers. METHODS: Cochlear implantation using a fully digital surgical microscope was performed. Movements of the stapedius tendon were recorded and analyzed by means of computer vision technique. Differences in eSR elicited by stimulating electrodes at different cochlear locations (basal, middle and apical) were analyzed. The eSR detection rate of the image processing algorithm was compared to the surgeon’s detection rate and to those of two less experienced observers. RESULTS: A total of 387 electrically impulses were applied. The stimulation of middle turn electrodes showed significantly higher detection rates (50.4%) compared to the basal (40.0%; p = 0.001) and apical (43.6%; p = 0.03) turn. The software identified significantly more of the applied stimuli (58.4%) compared to the surgeon (46.3%; p = 0.0007), the intermediate observer (37.7%; p < 0.0001) and the unexperienced observer (41.3%; p < 0.0001). CONCLUSION: The feasibility of an automated intraoperative software-based detection of eSR is demonstrated. By improving the eSR detection methods and their clinical applicability, their utility in objective cochlear implant fitting may be substantially increased. |
format | Online Article Text |
id | pubmed-8131305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-81313052021-05-24 Automated detection of electrically evoked stapedius reflexes (eSR) during cochlear implantation Weiss, Nora M. Óvári, Attila Oberhoffner, Tobias Demaret, Laurent Bicer, Atabek Schraven, Sebastian Ehrt, Karsten Dahl, Rüdiger Schneider, Armin Mlynski, Robert Eur Arch Otorhinolaryngol Otology INTRODUCTION: In cochlear implantation, objective fitting methods are needed to optimize audiological results in small children or patients with poor compliance. Intraoperatively measured electrically evoked stapedius reflexes (eSR) can be used as a marker for the patient’s discomfort level. The aim of this study was to develop and evaluate an automated detection method for eSR and to compare it to the detection rate of the surgeon and independent observers. METHODS: Cochlear implantation using a fully digital surgical microscope was performed. Movements of the stapedius tendon were recorded and analyzed by means of computer vision technique. Differences in eSR elicited by stimulating electrodes at different cochlear locations (basal, middle and apical) were analyzed. The eSR detection rate of the image processing algorithm was compared to the surgeon’s detection rate and to those of two less experienced observers. RESULTS: A total of 387 electrically impulses were applied. The stimulation of middle turn electrodes showed significantly higher detection rates (50.4%) compared to the basal (40.0%; p = 0.001) and apical (43.6%; p = 0.03) turn. The software identified significantly more of the applied stimuli (58.4%) compared to the surgeon (46.3%; p = 0.0007), the intermediate observer (37.7%; p < 0.0001) and the unexperienced observer (41.3%; p < 0.0001). CONCLUSION: The feasibility of an automated intraoperative software-based detection of eSR is demonstrated. By improving the eSR detection methods and their clinical applicability, their utility in objective cochlear implant fitting may be substantially increased. Springer Berlin Heidelberg 2020-08-03 2021 /pmc/articles/PMC8131305/ /pubmed/32748185 http://dx.doi.org/10.1007/s00405-020-06226-x Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Otology Weiss, Nora M. Óvári, Attila Oberhoffner, Tobias Demaret, Laurent Bicer, Atabek Schraven, Sebastian Ehrt, Karsten Dahl, Rüdiger Schneider, Armin Mlynski, Robert Automated detection of electrically evoked stapedius reflexes (eSR) during cochlear implantation |
title | Automated detection of electrically evoked stapedius reflexes (eSR) during cochlear implantation |
title_full | Automated detection of electrically evoked stapedius reflexes (eSR) during cochlear implantation |
title_fullStr | Automated detection of electrically evoked stapedius reflexes (eSR) during cochlear implantation |
title_full_unstemmed | Automated detection of electrically evoked stapedius reflexes (eSR) during cochlear implantation |
title_short | Automated detection of electrically evoked stapedius reflexes (eSR) during cochlear implantation |
title_sort | automated detection of electrically evoked stapedius reflexes (esr) during cochlear implantation |
topic | Otology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131305/ https://www.ncbi.nlm.nih.gov/pubmed/32748185 http://dx.doi.org/10.1007/s00405-020-06226-x |
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