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人工神经网络预滤波的自适应运动心电信号增强器
引用本文:刘海龙,唐奇伶. 人工神经网络预滤波的自适应运动心电信号增强器[J]. 生物医学工程学杂志, 2006, 23(5): 1118-1122
作者姓名:刘海龙  唐奇伶
作者单位:华中科技大学,生命科学与技术学院,生物医学光子学教育部重点实验室,武汉,430074
摘    要:运动心电图是一种将人体对象置于非平静状态下检测到的心电信号,其特点是运动导致基线严重漂移,肌电干扰显著增加,信噪比低。介绍了一种用人工神经网络预滤波的自适应运动心电信号增强器。运用人工神经网络的非线性和自适应处理的跟踪特性有机地结合设计而成。能降低噪声,提高信噪比,有效地提取运动心电信号。

关 键 词:运动心电图  非线性自适应信号增强器  信噪比  多层前馈人工神经网络
收稿时间:2003-12-09
修稿时间:2003-12-092004-06-02

Adaptive Exercise Electrocardiographic Signal Enhancer with Manual Neural Network Anticipate Filtering
Liu Hailong,Tang Jiling. Adaptive Exercise Electrocardiographic Signal Enhancer with Manual Neural Network Anticipate Filtering[J]. Journal of biomedical engineering, 2006, 23(5): 1118-1122
Authors:Liu Hailong  Tang Jiling
Affiliation:The Key Laboratory of Biomedical Photonics, Ministry of Education ,School of Life Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China
Abstract:Exercise electrocardiogram is to detect ECG signals when one is in exercise state. Its characteristics are that the exercise will result in serious excursion of the baseline , the distinct increase of the muscle voltage interfere and the fall signal-to-noise. This article introduces a adaptive exercise ECG signal enhancer with manual neural network. It is designed by combining non-linearity of manual neural network and the tracking characteristics of adaptive processing. It can reduce the noise, increase signal-to-noise and effectively abstract exercise electrocardiogram,
Keywords:Exercise electrocardiogram Non-line adaptive signal enhancer Signal-to-noise Multilayer front feedback manual neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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