A Novel Method for Automated Estimation of Effective Parameters of Complex Auditory Brainstem Response: Adaptive Processing Based on the Correntropy Concept

Objectives: Automated Auditory Brainstem Responses (ABR) peak detection is a novel technique to facilitate the measurement of neural synchrony along auditory pathway through brainstem. Analyzing location peaks in these signals and time interval between them may be utilized either for analyzing hearing process or detecting peripheral central lesions human system. Methods: In this paper, model-based signal processing proposed estimate effective parameters ABR signals. process, biological are assessed by utilizing Finite Impulse Response (FIR) adaptive filter which its adaptation procedure performed based on correntropy concept. The method applied set recorded response three stimuli /da/, /ba/, /ga/, then performances compared with an existing state-of-the-art technique. Results: results show that can significantly increase accuracy estimating stable stimulations (/da/, /ba/) major positive negative peaks. This improvement more significant (up 2-3 times) /ba/ stimulus especially However, other peaks, improvements also occurred smaller amounts. unstable (/ga/), no was achieved. Discussion: Increasing performance (while remains unchanged) indicates effectiveness automated clinical analysis