An auditory brainstem response automatic test method based on an adaptive averaging method. With regard to auditory brainstem response single records collected in batches under various test sound intensities from high to low, on the basis of calculation performed using an adaptive averaging method, the average number of records is increased gradually by means of iteration, and a signal-to-noise ratio is increased until an auditory brainstem response signal detection condition is met, the condition involving obtaining two groups of average curves by means of auditory brainstem response single records collected in groups and in batches, calculating a time lag where the maximum value of a cross-correlation function of the two groups of average curves is located, and determining, according to whether the deviation of the time lag is within a specified range, whether there is an auditory brainstem response signal with a time locking characteristic. A hearing threshold value is obtained by means of the minimum sound intensity required for detecting a signal; 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 test 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 auditory brainstem response record is repeatedly collected.
AUDITORY BRAINSTEM RESPONSE AUTOMATIC TEST METHOD BASED ON ADAPTIVE AVERAGING METHOD