基于多重判定的纯音听阈测定方法
Assessment of pure tone audiometry based on multiple judgments

听觉感知特性在听力评估中占有重要地位。该文面向嵌入式平台，基于人耳听觉特性，提出振幅到声压级的声学参数转换模型，实现标准纯音测试信号的自动生成；设计基于人耳听觉感知的测试音强度调整规则，提出基于多重判定的听阈值高信度确定方法和基于噪声掩蔽效应的听阈值修订算法；设计并实现面向嵌入式平台的纯音听阈测定方法和系统，实验对比了听力正常者的纯音听力曲线和标准听力范围。结果表明：该系统可方便快捷地及时检查听力变化，且具有较好的信度，也可用于听力筛查和疗效的评估。
Abstract：A auditory perception plays an important role in hearing assessments. A model was developed to transform amplitudes to sound pressure using acoustic parameters based on the auditory characteristics for automatic generation of standard pure tone test signals. The sounds were adjusted based on human auditory perception for a reliable algorithm to compute the hearing threshold based on multiple judgments. A correction algorithm for the hearing threshold is given for noise masking. A pure tone test was developed for an embedded platform to compare the hearing curves of normal people with standard hearing ranges. The results show that the system can quickly and easily check hearing changes, is reliable, and can be used for hearing screening.