摘要:为了能够准确检测R波,本文介绍了一种小波变换来检测心电信号R波的算法。该算法主要利用离散小波变换具有多分辨率分析即多尺度分析特点,采用的英语翻译

摘要:为了能够准确检测R波,本文介绍了一种小波变换来检测心电信号R波的

摘要:为了能够准确检测R波,本文介绍了一种小波变换来检测心电信号R波的算法。该算法主要利用离散小波变换具有多分辨率分析即多尺度分析特点,采用db1小波,利用其特有的时频域特性,运用Mallat快速算法将信号分解成多个尺度,然后根据小波变换模极大值与原始心电信号突变点的关系来检测R波。本文通过提取MIT/BIH数据库的心电信号,通过数字滤波器进行滤波处理,再进行小波变换。实验结果表明,该算法能够准确、有效定位R波,R波检测的准确率达到了。。。关键词: 心电信号 小波变换 多分辨率分析 滤波器 R波检测
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结果 (英语) 1: [复制]
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Abstract: In order to be able to accurately detect R waves, this article introduces a wavelet transform algorithm to detect R waves of ECG signals. The algorithm mainly uses discrete wavelet transform to have the characteristics of multi-resolution analysis, that is, multi-scale analysis. It uses db1 wavelet, uses its unique time-frequency domain characteristics, uses Mallat fast algorithm to decompose the signal into multiple scales, and then according to the wavelet transform modulus maximum The relationship between the value and the mutation point of the original ECG signal is used to detect the R wave. This article extracts the ECG signal from the MIT/BIH database, filters it through a digital filter, and then performs wavelet transform. Experimental results show that the algorithm can accurately and effectively locate R waves, and the accuracy of R wave detection is achieved. . . <br><br>Keywords: ECG signal wavelet transform multi-resolution analysis filter R wave detection
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结果 (英语) 2:[复制]
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Abstract: In order to detect R-waves accurately, this paper introduces an algorithm for detecting CST R-waves by small wave transformation. The algorithm mainly uses discrete wave wave transformation with multi-resolution analysis, i.e. multi-scale analysis, uses db1 wave, uses its unique time-frequency domain characteristics, uses Mallat fast algorithm to break down the signal into multiple scales, and then detects R-wave according to the relationship between the large value of the small wave transformation module and the original CST mutation point. In this paper, by extracting the heart signal of MIT/BIH database, filtering by digital filter, and then small wave transformation. The experimental results show that the algorithm can accurately and effectively locate R-wave, and the accuracy of R-wave detection is reached.<br><br>Keywords: PC Small wave transformation Multi-resolution analysis Filter R-wave detection
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结果 (英语) 3:[复制]
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Absrtact: in order to detect R-wave accurately, this paper introduces a wavelet transform algorithm to detect R-wave of ECG signal. In this algorithm, the discrete wavelet transform has the characteristics of multi-resolution analysis, that is, multi-scale analysis. Db1 wavelet is used to decompose the signal into multiple scales by using Mallat fast algorithm, and then R-wave is detected according to the relationship between the modulus maximum of wavelet transform and the mutation point of original ECG signal. In this paper, the ECG signal from MIT / BIH database is extracted, filtered by digital filter, and then transformed by wavelet. The experimental results show that the algorithm can locate R wave accurately and effectively, and the accuracy of R wave detection reaches...<br>Key words: ECG signal wavelet transform multi resolution analysis filter R wave detection
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