An auditory brainstem response (ABR) automatic test apparatus and method. The method comprises: acquiring an ABR record under a starting sound intensity; on the basis of the calculation performed using an adaptive averaging method, increasing the average number of records by means of iteration, and improving a signal-to-noise ratio until an ABR signal detection condition is met, wherein the ABR signal detection condition includes: obtaining average curves according to ABR records collected in groups and in batches, calculating a time lag where the maximum value of a cross-correlation function between groups is located, and determining, according to whether the deviation of the time lag is within a specified range, whether there is an ABR signal with a time locking characteristic; and terminating iteration when the ABR signal is detected or no ABR signal is detected, even if the maximum number of iterations is reached. The minimum sound intensity required for detecting a signal is taken as a hearing threshold value; or an accurate sound intensity corresponding to the hearing threshold value is obtained by performing function fitting on the number of iterations used in each sound intensity and by means of an interpolation method. The method has a high efficiency in detecting a threshold value, has an accuracy close to that of manual determination, is more objective, has a better repeatability, and can effectively reduce the number of times that an ABR record is repeatedly collected.
AUDITORY BRAINSTEM RESPONSE AUTOMATIC TEST APPARATUS AND METHOD