Development of Audiogram Database with Pattern Recognition Function for Audiogram Classification

作者开发了一个计算机辅助听力图自动分类系统，该系统具有用句法分析方法对听力图进行模式识别的功能。该系统是在微型机和MUMPS语言上开发的。该系统以六字符串的形式对听图模式信息进行了压缩。这些字符串可以被视为听力图分类的知识。该系统对气骨间隙、平均听力损失进行评估，并在每0.58秒内检测和恢复听力图特征。作者将该系统的判断与医生的判断进行了比较。该系统可以有效地应用于噪声环境下工人听力损失的筛查和自动化健康测试。

The authors have developed an automated computer-aided audiogram classification system which has the function of pattern recognition of audiograms by the syntactic analysis method. The system was developed on micro-computer and MUMPS language. This system compressed the audiogram pattern information by six characters strings. This strings could treat as the knowledge of the audiogram classification. Therefore, it is easy to standardize the audiogram classification.This system evaluate the air-bone gap, the average hearing loss, and also detect and retrieve the characteristics of the audiogram in every 0.58 sec. The authors compared the judgment of this system and those of the physicians. There were not so much difference between the two judgments.This new system can be effectively applied in screening audiometry of workmen's hearing loss in noisy environment and automated health testing.