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Automatic analysis of cochlear response using electrocochleography signals during cochlear implant surgery

Wijewickrema, Sudanthi ; Bester, Christofer ; Gerard, Jean-Marc ; Collins, Aaron ; O'Leary, Stephen Buechner, Andreas

PloS one, 2022-07, Vol.17 (7), p.e0269187-e0269187 [Periódico revisado por pares]

San Francisco: Public Library of Science

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Título:
Automatic analysis of cochlear response using electrocochleography signals during cochlear implant surgery
Autor: Wijewickrema, Sudanthi ; Bester, Christofer ; Gerard, Jean-Marc ; Collins, Aaron ; O'Leary, Stephen
Buechner, Andreas
Assuntos: Acoustics ; Automation ; Biology and Life Sciences ; Care and treatment ; Cochlea ; Cochlear implants ; Complications and side effects ; Computer and Information Sciences ; Electrical stimuli ; Electrocochleography ; Electrodes ; Engineering and Technology ; Hearing ; Hearing loss ; Medicine and Health Sciences ; Patient outcomes ; Patients ; Physical Sciences ; Research and Analysis Methods ; Sensory stimulation ; Signal to noise ratio ; Speech perception ; Surgery ; Transplants & implants ; Trauma
É parte de: PloS one, 2022-07, Vol.17 (7), p.e0269187-e0269187
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Competing Interests: The authors have declared that no competing interests exist.
Descrição: Cochlear implants (CIs) provide an opportunity for the hearing impaired to perceive sound through electrical stimulation of the hearing (cochlear) nerve. However, there is a high risk of losing a patient’s natural hearing during CI surgery, which has been shown to reduce speech perception in noisy environments as well as music appreciation. This is a major barrier to the adoption of CIs by the hearing impaired. Electrocochleography (ECochG) has been used to detect intra-operative trauma that may lead to loss of natural hearing. There is early evidence that ECochG can enable early intervention to save natural hearing of the patient. However, detection of trauma by observing changes in the ECochG response is typically carried out by a human expert. Here, we discuss a method of automating the analysis of cochlear responses during CI surgery. We establish, using historical patient data, that the proposed method is highly accurate (∼94% and ∼95% for sensitivity and specificity respectively) when compared to a human expert. The automation of real-time cochlear response analysis is expected to improve the scalability of ECochG and improve patient safety.
Editor: San Francisco: Public Library of Science
Idioma: Inglês

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Automatic analysis of cochlear response using electrocochleography signals during cochlear implant surgery

Wijewickrema, Sudanthi ; Bester, Christofer ; Gerard, Jean-Marc ; Collins, Aaron ; O'Leary, Stephen Buechner, Andreas

San Francisco: Public Library of Science

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