Algorithm of pure tone audiometry based on multiple judgment

2014 
Characteristics of auditory perception plays an important role in hearing assessment. In this paper, for embedded platform, we proposed a model transforming amplitude to SPL with acoustic parameters based on auditory characteristics, achieved the automatic generation of standard pure tone test signals. We designed adjustment rules for test signals based on human auditory perception, proposed highly reliable algorithm to compute the hearing threshold based on multiple judgment. For the noise masking, we proposed a correction algorithm for the hearing threshold. We designed and implemented system of pure tone test based on embedded platform, and compared hearing curves of normal people with standard hearing range. The results show that, the system can quickly and easily check hearing changes, and has good reliability, and can also be used in hearing screening.
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