• Designing digital filter and demarcating the feature points of ECG wave with the traditional ECG analysis algorithm.

    设计数字滤波器利用传统心电分析算法标定心电波形特征

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  • Four types of linear phase fir filters are introduced at first, then of this basis a notch filter for processing ECG signal is designed by using multiple exchange algorithm.

    首先介绍线性相位FIR滤波器情况,然后在基础上设计了应用多重交换算法处理心电信号陷波滤波器

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  • The paper presents a data flow distributing FCG algorithm, analyses the shape and parameters of ECG power spectrum, and gives a contrast example.

    本文数据分流fcg算法分析心电信号功率图形形状参数给出对照实例

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  • The paper investigates the identification algorithm of ECG signal and USES fuzzy control method to send out intelligent adjusting signal as pretreatment before nurses carry through first aid.

    信号采集处理过程中主要研究了心电信号识别算法使用模糊控制方法发出智能调节信号,在急救处理前进行预处理。

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  • To eliminate power-line interference in dynamic ECG recording, we present a simple effective power-line interference elimination algorithm based on noise extracting.

    消除动态心电记录中工干扰的影响,本文给出一种新颖简洁基于噪声提取的工频干扰抑制算法

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  • The experiment confirms that the algorithm of ANN is very effective to identify ECG waveforms.

    实验证实神经几乎络算法心电波形辨识非常有效

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  • It can record and monitor ECG signal continuously up to 24 hours a real-time ECG compression algorithm (MFAN), DRAM technique and optimal coding method are presented.

    系统采用了实时自适应ecg数据压缩算法(MFAN)、最优编码大容量动态存储器等技术存储长达24小时心电信号

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  • Detection of QRS is the key of ECG automatic analysis, so differential algorithm is implemented with DELPHI.

    QRS检测心电自动分析首要问题DELPHI编写了差分算法实现QRS波检测的程序模块。

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  • A new real time high performance algorithm for ECG data compression is presented in this paper.

    本文中我们提出一个新的高性能ECG数据实时压缩算法

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  • The LADT ECG data compression method has been theoretically and clinically analyzed in this paper. A fast algorithm for implementation of LADT method is proposed.

    本文理论临床应用角度分析了近期应用较多的LADT心电数据压缩方法,并给出了它的一种快速实现算法

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  • This thesis is composed of an ECG compression algorithm based on multiple sparse decompositions and its real-time application on DSP system.

    本文的主要内容包括基于多维稀疏估计心电信号压缩算法设计心电图实时压缩系统的DSP硬件实现两部分。

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  • Based on the study of ECG signal features, a new lossless ECG compression algorithm is put forward here.

    研究ecg信号特征基础提出一种新的心电数据无损压缩算法

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  • Conclusion: The signal quality assessment algorithm could provide an objective estimation of ECG quality.

    结论信号质量评估算法对心电信号质量给出客观评价

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  • Concerning the low accuracy and easily being interfered by noise of ECG diagnosis of ST-segment, a ST-segment detection algorithm based on least-square polynomial fitting was proposed.

    针对目前心电图s T段诊断准确度不高,容易受到噪声干扰情况,提出了一种基于最小二乘多项式合的ST段形态识别算法

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  • Based on analysis of Wavelet Transform of ECG signal and the law of its change across different scales, this algorithm can automatically detect 6 kinds of arrhythmia.

    算法利用连续小波变换及其不同尺度变化规律对心电信号进行分析可以对常见的心律失常进行自动判别。

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  • In this study, a lot of experiments with the data from both authoritative database and ECG simulator validated the accuracy and feasibility of the proposed algorithm.

    采用国际公认心电数据库数据所提出的算法进行了实验研究验证了算法的精确性有效性

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  • This paper presents an algorithm to detect strength noise segments and denoise them in dynamic ECG for improving the accuracy of auto analysis.

    提高动态心电图自动分析的准确率本文提出检测动态心电图噪声去噪的方法。

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  • Objective: To develop an algorithm of signal quality assessment of ECG in the intensive care unit.

    目的:研究基于重症监护病人心电导联信号质量评估算法。

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  • Test with ECG data, we drew a conclusion following:(1) This algorithm can lossless compress ECG data and yield a high compression ratio than Huffman algorithm.

    通过心电压缩试验表明:(1算法能够有效的对心电数据进行无损压缩,得到熵编码更好的压缩比;

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  • The filtering algorithm is applied to restore a noisy electro-cardiogram(ECG) signal. The signal to noise ratio(SNR

    滤波算法应用恢复噪声污染的心电信号,其信噪比大大改善。

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  • The algorithm is simple and the computational load is medium, so it can be used in processing program of ECG when...

    算法实现简单计算量小,在ECG信号的脱机和实时处理程序中均使用

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  • The algorithm is simple and the computational load is medium, so it can be used in processing program of ECG when...

    算法实现简单计算量小,在ECG信号的脱机和实时处理程序中均使用

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