The invention relates to an ABR (
auditory brainstem response) automatic test method based on a self-adaptive average method. ABR single-time records collected in batches from high values to low valuesat each test
sound intensity are subjected to calculation based on the self-adaptive average method; iteration is performed for increasing the average times of the records step by step; the
signal-to-
noise ratio is increased until the ABR
signal detection conditions are met, i.e., through the ABR single-time records collected in batches and in groups, two groups of average curves are obtained; the located time-
lag of the maximum value of a cross-
correlation function is calculated; whether ABR signals with the time lock characteristics exist or not is judged according to whether the time-
lag deviation is within a specified range or not. A hearing threshold value is obtained through the lowest
sound intensity required by detection signals, or the accurate
sound intensity corresponding to the hearing threshold value is obtained through a function fitting and interpolation method on the iteration times used at each test sound intensity. According to the method provided by the invention, the
detection threshold value efficiency is high; the accuracy rate is close to that of manual judgment; higher objective performance is realized; the
repeatability is better; the repeated collection times of the ABR records can be effectively reduced.