Optimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators

In cochlear implant (CI) users, measurements of electrically evoked compound action potentials (ECAPs) prove the functionality of the neuron-electrode interface. Objective measures, e.g., the ECAP threshold, may serve as a basis for the clinical adjustment of the device for the optimal benefit of th...

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Autores principales:	Lutz Gärtner, Philipp Spitzer, Kathrin Lauss, Marko Takanen, Thomas Lenarz, Sebastian Hoth
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/acf6a6b2eeb14ed689bfd96502181dcf
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spelling	oai:doaj.org-article:acf6a6b2eeb14ed689bfd96502181dcf2021-11-11T06:44:22ZOptimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators1932-6203https://doaj.org/article/acf6a6b2eeb14ed689bfd96502181dcf2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559956/?tool=EBIhttps://doaj.org/toc/1932-6203In cochlear implant (CI) users, measurements of electrically evoked compound action potentials (ECAPs) prove the functionality of the neuron-electrode interface. Objective measures, e.g., the ECAP threshold, may serve as a basis for the clinical adjustment of the device for the optimal benefit of the CI user. As for many neural responses, the threshold determination often is based on the subjective assessment of the clinical specialist, whose decision-making process could be aided by autonomous computational algorithms. To that end, we extended the signal-to-noise ratio (SNR) approach for ECAP threshold determination to be applicable for FineGrain (FG) ECAP responses. The new approach takes advantage of two features: the FG stimulation paradigm with its enhanced resolution of recordings, and SNR-based ECAP threshold determination, which allows defining thresholds independently of morphology and with comparably low computational power. Pearson’s correlation coefficient r between the ECAP threshold determined by five experienced evaluators and the threshold determined with the FG-SNR algorithm was in the range of r = 0.78–0.93. Between evaluators, r was in a comparable range of 0.84–0.93. A subset of the parameters of the algorithm was varied to identify the parameters with the highest potential to improve the FG-SNR formalism in the future. The two steps with the strongest influence on the agreement between the threshold estimate of the evaluators and the algorithm were the removal of undesired frequency components (denoising of the response traces) and the exact determination of the two time windows (signal and noise and noise only).”The parameters were linked to the properties of an ECAP response, indicating how to adjust the algorithm for the automatic detection of other neurophysiological responses.Lutz GärtnerPhilipp SpitzerKathrin LaussMarko TakanenThomas LenarzSebastian HothPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lutz Gärtner Philipp Spitzer Kathrin Lauss Marko Takanen Thomas Lenarz Sebastian Hoth Optimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators
description	In cochlear implant (CI) users, measurements of electrically evoked compound action potentials (ECAPs) prove the functionality of the neuron-electrode interface. Objective measures, e.g., the ECAP threshold, may serve as a basis for the clinical adjustment of the device for the optimal benefit of the CI user. As for many neural responses, the threshold determination often is based on the subjective assessment of the clinical specialist, whose decision-making process could be aided by autonomous computational algorithms. To that end, we extended the signal-to-noise ratio (SNR) approach for ECAP threshold determination to be applicable for FineGrain (FG) ECAP responses. The new approach takes advantage of two features: the FG stimulation paradigm with its enhanced resolution of recordings, and SNR-based ECAP threshold determination, which allows defining thresholds independently of morphology and with comparably low computational power. Pearson’s correlation coefficient r between the ECAP threshold determined by five experienced evaluators and the threshold determined with the FG-SNR algorithm was in the range of r = 0.78–0.93. Between evaluators, r was in a comparable range of 0.84–0.93. A subset of the parameters of the algorithm was varied to identify the parameters with the highest potential to improve the FG-SNR formalism in the future. The two steps with the strongest influence on the agreement between the threshold estimate of the evaluators and the algorithm were the removal of undesired frequency components (denoising of the response traces) and the exact determination of the two time windows (signal and noise and noise only).”The parameters were linked to the properties of an ECAP response, indicating how to adjust the algorithm for the automatic detection of other neurophysiological responses.
format	article
author	Lutz Gärtner Philipp Spitzer Kathrin Lauss Marko Takanen Thomas Lenarz Sebastian Hoth
author_facet	Lutz Gärtner Philipp Spitzer Kathrin Lauss Marko Takanen Thomas Lenarz Sebastian Hoth
author_sort	Lutz Gärtner
title	Optimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators
title_short	Optimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators
title_full	Optimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators
title_fullStr	Optimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators
title_full_unstemmed	Optimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators
title_sort	optimized snr-based ecap threshold determination is comparable to the judgement of human evaluators
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/acf6a6b2eeb14ed689bfd96502181dcf
work_keys_str_mv	AT lutzgartner optimizedsnrbasedecapthresholddeterminationiscomparabletothejudgementofhumanevaluators AT philippspitzer optimizedsnrbasedecapthresholddeterminationiscomparabletothejudgementofhumanevaluators AT kathrinlauss optimizedsnrbasedecapthresholddeterminationiscomparabletothejudgementofhumanevaluators AT markotakanen optimizedsnrbasedecapthresholddeterminationiscomparabletothejudgementofhumanevaluators AT thomaslenarz optimizedsnrbasedecapthresholddeterminationiscomparabletothejudgementofhumanevaluators AT sebastianhoth optimizedsnrbasedecapthresholddeterminationiscomparabletothejudgementofhumanevaluators
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Optimized SNR-based ECAP threshold determination is comparable to the judgement of human evaluators

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