摘要
听觉诱发电位 (AEP)信号的提取技术是生物医学工程领域和信号处理领域长期以来一直关注的问题。本文综述了听觉诱发电位信号处理技术的一些新进展 ,主要介绍了功率谱估计、自适应处理方法、小波变换法、混沌理论、人工神经网络、正则化方法、独立分量分析 7种处理方法 ,这些方法都致力于少次刺激、高质量提取听觉诱发电位信号 ,充分地展示了听觉诱发信号处理技术高效提取的前景。
Signal analysis of the auditory evoked potential (AEP) has been the interesting field in biomedicine and signal processing for a long time . Recent advances in the analytic method of AEP are summed up in this paper. Seven methods, including spectral analysis, adaptive filtering , wavelet transform, chaos theory, artificial neutral network, regularization, and independent component analysis are mainly introduced. All of them are promising for extracting the signal with less stimulation and adequate quality, and for displaying their efficient application in the analysis of AEP.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
2003年第3期563-566,共4页
Journal of Biomedical Engineering
关键词
听觉诱发电位
信号处理
混沌理论
人工神经网络
独立分量分析
Auditory evoked potential Signal processing Chaos theory Artificial neutral network Independent component analysis
