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Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
Published on: December 9, 2022
Automatic removal of sonomotor waves from auditory brainstem responses
B Trzaskowski1, W W Jedrzejczak, E Pilka
1Institute of Physiology and Pathology of Hearing, Warszawa, Poland. b.trzaskowski@ifps.org.pl
Computers in Biology and Medicine
|April 10, 2013
Summary
A new computerized method automatically detects and removes sonomotor waves (SMWs) from auditory brainstem responses (ABRs). This technique, validated with simulated and clinical data, offers reliable ABR analysis.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Auditory Brainstem Responses (ABRs) are crucial for assessing auditory pathway function.
- Sonomotor waves (SMWs) can contaminate ABR signals, complicating analysis.
- Accurate detection and removal of SMWs are essential for reliable ABR interpretation.
Purpose of the Study:
- To develop and validate a computerized technique for automatic detection and removal of SMWs from ABRs.
- To improve the accuracy and efficiency of ABR analysis.
Main Methods:
- Adaptive decomposition using a redundant set of Gaussian and 1-cycle-limited Gabor functions.
- Utilized simulated data for parameter optimization and method evaluation.
- Applied the developed technique to clinical ABR data.
Main Results:
- The computerized technique successfully detected and removed SMWs from ABRs.
- Simulated data analysis demonstrated the method's efficiency and parameter optimization.
- Clinical data results were validated by an experienced ABR expert.
Conclusions:
- The developed computerized technique provides an effective solution for automatic SMW removal from ABRs.
- This method enhances the reliability of ABR signal analysis for clinical applications.
- Further validation and application in diverse clinical settings are warranted.
