听觉诱发电位信号的小波消噪方法研究.pdfVIP

学兔兔 第31卷 第3期 仪 器 仪 表 学 报 V01．3l No．3 2010年3月 Chinese Journal of Scientific Instrument Mar．201O 听觉诱发电位信号的小波消噪方法研究 李越囡，孙 迎 (上海理工大学医疗器械与食品学院 上海 200093) 摘 要：本文对听觉诱发电位(auditory brainstem response，ABR)的信号消噪方法进行研究，采用Daubechies5(DB5)小波分析 方法进行去噪处理。首先在MATLAB中对信号进行频谱分析，然后再利用小波工具箱找到DB5是适合于分析ABR信号的最 优小波基，结合频谱分析结果提出小波系数的选取算法。研究表明选用DB5小波对测量信号进行变换处理，该分析方法不仅 大大减少了叠加次数，同时也得到了更好的去噪效果。最后，在程序中实现了上述小波消噪算法，并依照临床感兴趣的I—V五 波的波间潜伏期设计出波形评估程序，从而进一步证实了上述理论的可靠性。 关键词：DB5小波；听觉诱发电位；频谱分析 中图分类号：TN911．7 文献标识码：A 国家标准学科分类代码：310．61 Research on wavelet de—noising method of auditory brainstem response Li Yuenan，Sun Ying (School ofMedical Instrument and Food Engineering，University ofShanghaifor Science and Technology，Shanghai 200093，China) Abstract：This paper reports a research on denoising method for Auditory Brainstem Response(ABR)，in which DB5 wavelet analysis method is used for denoising．Firstly，frequency spectrum analysis of the ABR signal is made in MATLAB．Secondly，using MATLAB wavelet toolbox，DB5 is found to be the most appropriate wavelet basis for ABR signal；and combining with the results of frequency spectrum analysis，the selection algorithm of wavelet eoeffi· eients is proposed．This study shows that choosing DB5 to do wavelet transform on the metrical signal can not only re— duce the superposing times greatly but also obtain better denoising result．Finally，the above mentioned arithmetic was realized by programming．a waveform evaluation procedure was designed according to the I—V inter—wave latency of clinical interest，which further substantiates the trustiness of the above mentioned theory． Key words：DB5 wavelet；auditory brainstem response；~equenc