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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.