Navržení měřicího řetězce pro záznam sluchově evokovaných poteenciálu pomocí EEG (CERA)

Abstract

This bachelor's thesis deals with the design, implementation, and verification of a measurement chain for recording late auditory evoked potentials using the Cortical Evoked Response Audiometry (CERA) method. The measurement chain operates on the principles of acoustic stimulation, recording of cortical auditory evoked potentials (CAEP) using EEG, and subsequent analysis of the results. Within the measurement framework, data acquisition was conducted on ten subjects stimulated by tone-burst impulses at frequencies of 1 kHz and 2 kHz and intensities of 90, 70, and 50 dB SPL. The recorded EEG signals were subsequently processed in the MATLAB environment using algorithms including digital filtering, segmentation, and epoch averaging of the individual test conditions. The stability and reliability of the recorded results were verified using the Split-Half correlation method utilizing the Spearman-Brown formula. The obtained results confirmed the functionality of the proposed solution, the stability of the waveform complex, and the presence of expected trends in signal latencies depending on the stimulation intensity.