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Latency-dependent filtering and compact representation of the complete auditory pathway response
Angel de la Torre1, Joaquin T Valderrama2, Jose C Segura1
1Department of Signal Theory, Telematics, and Communications, University of Granada, Granada, Spain.
The Journal of the Acoustical Society of America
|September 3, 2020
Summary
This study introduces a novel method for processing auditory evoked potentials (AEPs), including the auditory brainstem response (ABR), middle latency response (MLR), and cortical auditory evoked potentials (CAEPs). The new procedure offers a compact, latency-dependent representation for comprehensive analysis and reduced data storage.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Auditory evoked potentials (AEPs) comprise auditory brainstem response (ABR), middle latency response (MLR), and cortical auditory evoked potentials (CAEPs).
- These AEP components are typically recorded separately due to distinct latency ranges and frequency bands, necessitating different protocols.
- This separation complicates the comprehensive analysis of the entire auditory pathway's neural activity.
Purpose of the Study:
- To propose a unified procedure for recording and analyzing AEPs.
- To develop a latency-dependent filtering and down-sampling method for AEPs.
- To enable a compact representation of the complete auditory pathway response for enhanced analysis and data management.
Main Methods:
- A novel procedure involving latency-dependent filtering and down-sampling of AEP signals was developed.
- The method aims to represent each AEP component appropriately based on its latency.
- A compact representation using approximately 120 samples (40 samples/decade) was evaluated.
Main Results:
- The proposed procedure allows for appropriate latency-dependent filtering of AEP components.
- A compact representation with ~120 samples accurately captures the complete auditory pathway response.
- This method preserves the natural continuity of neural activity transmission and reduces data storage requirements.
Conclusions:
- The developed procedure offers a new perspective for designing and analyzing AEP experiments.
- It facilitates comprehensive analysis of evoked potentials by maintaining continuity along the auditory pathway.
- The compact representation is beneficial for clinical and research applications involving large AEP databases.
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