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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
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Multichannel search strategy for improving the detection of auditory steady-state response
Felipe Antunes1, Tiago Zanotelli2, David Martin Simpson3
1Department of Electrical Engineering, Federal Institute of Education Science and Technology of Minas Gerais-Ipatinga Campus, Maria Silva, 125, CEP, Ipatinga, MG, 35164-261, Brazil. felipe.antunes@ifmg.edu.br.
Medical & Biological Engineering & Computing
|January 26, 2021
Summary
This study introduces a new method to improve auditory steady-state response (ASSR) detection by selecting the best electroencephalogram (EEG) derivation. This technique enhances signal-to-noise ratio (SNR) for more accurate hearing threshold estimation.
Area of Science:
- Neuroscience
- Audiology
- Biomedical Engineering
Background:
- Auditory steady-state response (ASSR) is crucial for estimating hearing thresholds.
- Objective response detectors (ORD) are commonly used for ASSR detection.
- ORD performance is influenced by signal-to-noise ratio (SNR) and signal length.
Purpose of the Study:
- To develop a multivariate technique to improve SNR and detection power for ASSR.
- To avoid increasing signal length, a common limitation in ASSR analysis.
- To enhance the accuracy of hearing threshold estimation using ASSR.
Main Methods:
- A calibration step was added before the ASSR detection protocol.
- The technique searches available electroencephalogram (EEG) derivations to find the one with the highest SNR.
- Magnitude-squared coherence (MSC) was used as the objective response detector (ORD).
Main Results:
- The proposed technique achieved a higher detection rate compared to the standard protocol in 99.13% of cases.
- Superior performance was observed when search restrictions were applied.
- The method effectively identified optimal EEG derivations, outperforming the standard single-derivation approach.
Conclusions:
- The proposed technique successfully identifies the best EEG derivations for ASSR detection.
- This method addresses the variability in SNR across individuals and sessions.
- The technique offers a more powerful and reliable approach to hearing threshold estimation using ASSR.
