[Automated complex for registering and analysing evoked potentials of the human auditory system]

Area of Science:

• Auditory Neuroscience
• Biomedical Engineering
• Signal Processing

Context:

• Diagnosing auditory system affections requires distinguishing specific neural signals from background brain activity.
• Existing methods may struggle with signal-to-noise ratio challenges in auditory diagnostics.

Purpose:

• To describe a complex setup designed for diagnosing human auditory system affections.
• To detail the functioning algorithm for signal-to-noise segregation.
• To demonstrate the dynamic operation of the setup.

Summary:

• A complex setup is presented for auditory system diagnosis.
• Its core function is the segregation of auditory evoked potentials from background cortical noise.
• The setup's dynamic operation based on a defined algorithm is illustrated.

Impact:

• Potential for improved accuracy in diagnosing auditory disorders.
• Provides a framework for advanced auditory signal processing.
• Contributes to the development of sophisticated neurodiagnostic tools.