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目的：将小波变换这种时频域信号分析方法用于豚鼠听觉脑干电位分析，以了解小波变换是否适用于ABR信号分析，较之传统法有否优越之处。方法：雄性纯白豚鼠30只分成正常、传导性聋、感音性聋三组，每组10只，采集各组75dBnHL短声诱发的ABR，用小波处理软件进行变换，将变换前后信号的时域值作配对统计处理。结果：小波2尺度变换使原信号失真，4尺度变换增加原信号的背景噪声，3尺度变换可保持原信号的时域特征，并提高互波显现率。结论：小波3尺度变换适用于高声强诱发的豚鼠ABR分析，与传统方法比较，可在保持原信号时域特征不变时即提高Ⅰ波显现率。
OBJECTIVE: To apply the wavelet transform, a time-frequency domain signal analysis method, to the auditory brainstem response of guinea pigs to find out whether wavelet transform is suitable for ABR signal analysis or not. Methods: 30 male guinea pigs were divided into three groups: normal, conductive deafness and sensory deafness. Each group consisted of 10 rabbits. The ABR induced by 75dBnHL short-tone was collected and transformed with wavelet processing software. Domain value for paired statistical processing. Results: Wavelet 2 scale transform distorts the original signal, 4-scale transform increases the background noise of the original signal, and 3-scale transform preserves the time-domain features of the original signal and enhances the appearance of the inter-wave. Conclusion: Wavelet 3-scale transform is suitable for the ABR analysis of guinea pigs induced by loud and strong stress. Compared with the traditional method, the wave Ⅰ appearance can be improved while maintaining the time-domain characteristics of the original signal.