Manta, Ourania and Sarafidis, Michail and Vasileiou, Nikolaos and Schlee, Winfried and Consoulas, Christos and Kikidis, Dimitris and Vassou, Evgenia and Matsopoulos, George K. and Koutsouris, Dimitrios D. (2022) Development and Evaluation of Automated Tools for Auditory-Brainstem and Middle-Auditory Evoked Potentials Waves Detection and Annotation. BRAIN SCIENCES, 12 (12): 1675. ISSN , 2076-3425
Full text not available from this repository. (Request a copy)Abstract
Auditory evoked potentials (AEPs) are brain-derived electrical signals, following an auditory stimulus, utilised to examine any obstructions along the brain neural-pathways and to diagnose hearing impairment. The clinical evaluation of AEPs is based on the measurements of the latencies and amplitudes of waves of interest; hence, their identification is a prerequisite for AEP analysis. This process has proven to be complex, as it requires relevant clinical experience, and the existing software for this purpose has little practical use. The aim of this study was the development of two automated annotation tools for ABR (auditory brainstem response)- and AMLR (auditory middle latency response)-tests. After the acquisition of 1046 raw waveforms, appropriate pre-processing and implementation of a four-stage development process were performed, to define the appropriate logical conditions and steps for each algorithm. The tools' detection and annotation results, regarding the waves of interest, were then compared to the clinicians' manual annotation, achieving match rates of at least 93.86%, 98.51%, and 91.51% respectively, for the three ABR-waves of interest, and 93.21%, 92.25%, 83.35%, and 79.27%, respectively, for the four AMLR-waves. The application of such tools in AEP analysis is expected to assist towards an easier interpretation of these signals.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | LATENCY RESPONSE; HEARING-LOSS; auditory evoked potential (AEP); auditory brainstem response (ABR); auditory middle latency response (AMLR); automated wave-annotation; waveforms |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 27 Feb 2024 14:14 |
| Last Modified: | 27 Feb 2024 14:14 |
| URI: | https://pred.uni-regensburg.de/id/eprint/58063 |
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