听觉诱发电位提取技术进展

Progress in extraction technology of auditory evoked potential

听觉诱发电位所包含的时域和频域信息对于客观评价人体听觉功能和诊断神经系统疾病等方面都具有重要意义。本文综述了听觉诱发电位的信号处理技术新进展,包括时变滤波叠加、自适应滤波、小波变换、人工神经网络、独立分量分析、希尔伯特-黄变换6种处理方法。这些方法都致力于减少刺激次数,更高质量地提取听觉诱发电位信号。

Information of the time and frequency domain contained in the auditory system is important for the evaluation of human auditory function and the diagnosis of nervous system diseases. In this paper, some new advances in signal processing techniques depending on auditory evoked potential are reviewd, which include time-varying filter overlying, self-adaptive filtering, wavelet transform, artificial neural networks, independent component analysis, and Hilbert-Huang transform. These methods are committed to carrying out less stimulation, and extracting auditory evoked potential signal in higher quality.