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.