Article

Two-Dimensional Discrete Wavelet Transform for Automatic Hearing Threshold Estimation from Clinical ABR Images

2026-08-11

Abstract excerpt

Determining hearing thresholds from auditory brainstem responses (ABR) in clinical practice requires manual interpretation, particularly the assessment of wave V presence across successive stimulus intensity levels. This work presents a comprehensive comparison of the impact of discrete wavelet selection in the two-dimensional discrete wavelet transform (2D-DWT) and region of interest (ROI) window size on automati...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 27632e1b-1bc7-50a0-a8e3-89c91cd85ff9
DOI: 10.20944/preprints202608.0696.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Two-Dimensional Discrete Wavelet Transform for Automatic Hearing Threshold Estimation from Clinical ABR ImagesDOI 10.20944/preprints202608.0696.v1Read

Can Multimodal Large Language Models Visually Interpret Auditory Brainstem Responses?Semantic proximity Read

Level Dependent Subcortical EEG Responses to Continuous SpeechSemantic proximity Read

<i>Can you hear me now</i>? Clinical applications of audio recordingsSemantic proximity Read

Data-driven segmentation of audiometric phenotypes across a large clinical cohort.Semantic proximity Read

Screen-H Website Audiometry as a Diagnostic Tool for Hearing Screening in Patients with Hearing LossSemantic proximity Read

Advances and Challenges in Respiratory Sound Analysis: A Technique Review Based on the ICBHI2017 DatabaseSemantic proximity Read

OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet TransformsSemantic proximity Read

A robust continuous wavelet transform (CWT) based for R-peak detection method of ECGSemantic proximity Read

Empirical wavelet transform and wavelet mode decomposition for frequency characteristic extraction of EEG during sevoflurane general anesthesiaSemantic proximity Read

3D Mel-Spectrogram–Based Deep Learning for Automated Multiclass Diagnosis of Pathological VoicesSemantic proximity Read

The Search for a Diagnostic Indicator of Cochlear Deafferentation: Predicting Age and Veteran Status from Auditory Evoked Potential MeasuresSemantic proximity Read

Towards personalized auditory models: predicting individual sensorineural-hearing-loss profiles from recorded human auditory physiologySemantic proximity Read