听觉诱发电位信号分析中小波基函数的确定

声舒适是评价建筑室内环境的重要部分,听觉诱发电位是声环境舒适度评价的客观生理指标,听觉诱发电位信号的时频能量特征可以用来评价声环境的舒适性.小波包分析可以探究听觉诱发电位信号时频能量分布规律,分析时运用的小波基不同,产生的结果也不同.为了更好地研究听觉诱发电位信号的时频能量分布,比较了5种小波基函数的时域特点和幅频特性.对16名正常成年人进行了脑干听觉诱发电位实验,将所测16组听觉诱发电位的平均值进行小波包时频能量分析.结果表明,dmey小波分析结果在时频分布上可与实际信号的能量信息相匹配,可以减少各个频带信号分解后的失真问题.选择dmey小波对听觉诱发电位信号进行处理,能够更准确地分析听觉诱发电位信号的时频能量分布,为声环境的舒适性研究提供理论依据.

Determination of Wavelet Basis Function in Auditory Evoked Potential Signal Analysis

Acoustic comfort, as an important part of evaluating the indoor environment of a building, affects people''s work efficiency, emotional changes and other factors. With the improvement of people''s quality of life, people''s requirements for the acoustic environment have also developed into human-oriented comfort needs. Auditory evoked potential is an objective physiological index for evaluating the comfort level of acoustic environment. Therefore, the time - frequency energy characteristics of auditory evoked potential signal can be used to evaluate the comfort of acoustic environment. The time-frequency energy distribution of auditory evoked potential signals can be explored through wavelet packet analysis, and different results of time-frequency energy analysis can be produced by using different wavelet basis functions. In order to study the time-frequency energy distribution of auditory evoked potential signals, the time-domain characteristics and amplitude-frequency characteristics of five wavelet basis functions were compared. The brainstem auditory evoked potential experiment was performed on 16 normal adults, and the average value of the measured auditory evoked potential in 16 groups was analyzed by wavelet packet time-frequency energy. The results showed that the energy information of dmey wavelet can match with that of the actual signal in time-frequency distribution, and the distortion of decomposition signal in each frequency band can be reduced. Auditory evoked potential signals are transformed by using the dmey wavelet, the time-frequency energy distribution of auditory evoked potential signals can be more accurately analyzed, which provides a theoretical basis for the study of acoustic comfort.