运动心电信号特征提取的小波变换方法  

The Method of Wavelet Transformation Used for Extracting the Characteristic of the Exercise ECG

作　　者：叶继伦[1] 郑崇勋[1] 郭耸峰[1] 王磊[1] 黄燕[2] 

机构地区：[1]西安交通大学,710049 [2]重庆医科大学第一附属医院

出　　处：《中国医疗器械杂志》1999年第5期268-271,共4页Chinese Journal of Medical Instrumentation

摘　　要：介绍了小波变换的基本原理以及基于高斯型函数的一阶导数的二进小波变换的算法，并在运动心电信号特征参数的识别中应用该小波变换方法，研究表明小波变换方法对于消除运动心电信号中基线漂移和噪声的效果是十分明显的，这为进一步研究运动心电信号的特征识别提供了新的途径。This article introduces the basic rationale of wavelet transformation and the algorithm of typical dyadic wavelet transformation with mother wavelet of the first derivative of a Gaussian smoothing function, this wavelet transformation is used to recognize the characteristic parameters of the exercise ECG, it is concluded that this method make significant effects on restricting base line drifting and lessening noisy component in the exercise ECG, it providesa new way to do further research on characteristic recognition of the exercise ECG in the exercise test.

关 键 词：运动心电信号 小波变换 特征识别 

分 类 号：R540.47[医药卫生—心血管疾病] R318.04[医药卫生—内科学]