Extraction of short-latency evoked potentials using a combination of wavelets and evolutionary algorithms

作     者：Turner, S Picton, P Campbell, J 

作者机构：Univ Coll Northampton Sch Technol & Design Northampton NN2 6JD England 

出 版 物：《MEDICAL ENGINEERING & PHYSICS》 (医学工程与物理学)

年 卷 期：2003年第25卷第5期

页      面：407-412页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

主　　题：wavelets evolutionary algorithms evoked potentials 

摘      要：Somatosensory evoked potentials, recorded at the spine or scalp of a patient, are contaminated by noise. It is common practice to use ensemble averaging to remove the noise, which usually requires a large number of responses to produce one averaged signal. In this paper a post-processing technique is shown which uses a combination of wavelets and evolutionary algorithms to produce a representative waveform with fewer responses. The most suitable wavelets and a set of weights are selected by an evolutionary algorithm to form a filter bank, which enhances the extraction of evoked potentials from noisy recordings. (C) 2003 IPEM. Published by Elsevier Science Ltd. All rights reserved.