• Methods: to conduct statistical analysis of the ECG detection results of 30 young taekwondo athletes at rest state.

    方法:对30名青少年跆拳道运动员安静状态下心电图检出结果进行统计分析

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  • Based on the analysis of several remote transmission methods, the remote ECG detection project was established based on GPRS technology.

    目前几种远程传输方法讨论和分析基础上,确立基于GPRS技术远程心电检测方案

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  • In the paper, for the shortcomings of the previous algorithms of ECG detection and processing, I put forward a ECG detection method based on wavelet nerves network.

    针对以往心电检测处理算法不足,本文提出基于小波神经网络的心电检测算法

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  • Signal preprocessing and waveforms detection for ECG are the key of the ECG monitoring diagnosis system for diagnosis and therapy.

    心电信号预处理波形检测心电自动分析诊断系统关键问题,直接决定着诊断治疗心脏病的效果。

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  • The ECG preprocessing and characteristic point detection are studied.

    进行心电信号预处理基本特征检测的研究。

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  • Conclusion the data acquisition card could meet the needs of clinical detection of exercise ECG.

    结论数据采集能够满足运动心电图临床检测要求

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  • ECG is the most commonly used clinical detection to diagnose myocardial ischemia and myocardial infarction.

    心电图诊断心肌缺血心肌梗死常用临床检测办法。

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  • QRS detection is the foundation of automatic ECG analysis system.

    QRS波检测心电信号自动分析基础

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  • Accurate electrocardiogram (ECG) beat classification is essential for automated detection of arrhythmias.

    分类对于临床心律失常自动化检测非常重要。

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  • The key is detection of QRS complex in the analysis of ECG signal.

    心电图(ECG)数据分析,其QRS综合检测关键

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  • QRS detection is the key of computerized ambulatory ECG analysis.

    QRS波检测动态心电分析中的关键

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  • Based on the modulus maxima at each scale of wavelet transform, this paper does a research into the detection of S-T segment of abnormal ECG, especially that of myocardial infarction.

    基于小波变换各个尺度极大值,本文深入研究异常心电信号尤其是梗死发生时S - T检测

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  • The following work has been performed in this research: The ECG preprocessing and characteristic point detection are studied.

    论文主要内容包括心电信号预处理技术特征检测技术以及诊断技术的研究。

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  • For the problems of current ECG monitor, a wireless ECG tele-monitoring system based on MEMS technology was designed for cardiovascular disease, to achieve real-time detection of ECG for a long time.

    本文针对目前医疗监护仪所存在问题,设计一种面向心血管疾病远程心电监护系统实现对心血管病人心电信号时间实时检测

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  • Then the method is implanted into the embedded system to implement the real-time detection of ECG.

    然后,将方法移植嵌入式系统上,实现心电信号实时检测

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  • Conventional ECG detected a higher rate of reproducibility, and cardiovascular disease for the elderly early detection, early diagnosis, screening high-risk patients is important.

    常规心电图检出率较高重复性强,老年人心血管疾病发现、早诊断高危病人筛查具有重要意义

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  • QRS complex detection is the principal factor in ECG signal detection and the important gist in cardiovascular disease diagnosis and ECG monitor.

    QRS波的检测ECG信号检测中的首要问题,心脏病诊断心电监护重要依据

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  • Therefore, for early detection and diagnosis of heart diseases, it will be helpful to provide long-time, continuous and real-time ECG monitoring.

    因此心脏病患者,进行长时间连续实时心电监护,有助于临床上的早期发现诊断

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  • ECG is a commonly used heart function test in analysis of cardiac chronotropic and dromotropic, but it can not be used for detection of cardiac inotropic.

    心电图常用心功能检测方法,监测心脏变时性变传导性不能检测心脏的变力性。

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  • Conclusion the baseline wander is accurately removed and the ECG waveform is better retained., which lays foundation for the following ECG automatic detection.

    结论:方法可以准确地去除基线漂移分量,保留ecg波形变化,后续ECG自动检测奠定基础

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  • This subject has designed a portable detection module which is based on ARM of ECG. The module is composed of the acquisition part of ECG signal and the processing part of ECG signal.

    本文设计基于ARM心电便携式检测模块,模块心电信号采集部分和心电信号处理部分组成。

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  • YANG Jie. ECG signal detection and pattern classification methods of research [d]. Hangzhou: Hangzhou Normal University, 2014.

    [5]杨杰心电信号检测模式分类方法研究[D]。杭州:杭州师范大学,2014。

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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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  • The detection rate of CHD by ECG increased according to the number of VeSSel disease in CHD.

    心电图随着状动脉病变支数增加而检出冠心病阳性率增高。

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  • ECG (electrocardiogram) beat classification is very important for clinical automated detection of arrhythmia.

    自动分类对于心律失常的临床诊断有着非常重要的意义。

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  • But the pulse waveform obtained from this method merely has distinctive features such as the QRS complexes in ECG, so the ratio of correct detection of pulse waveform is always low.

    由于采用双波长法得到脉搏比较低,且脉搏波又不具有明显特征(例如心电信号QRS波群),因此常用的脉搏波波识别方法正确检出率不高,经常出现漏检或误检。

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  • A new method of blind signal separation was provided to achieve FECG (Fetal ECG) detection.

    本文提出了用盲信分离提取胎儿心电方法

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  • The studies include development of generating system of 12-lead synchronous abnormal ECG waveform database, wavelet based QRS complex detection algorism and waveform analysis.

    建立12导联同步心电异常波形数据库生成系统,并在此基础研究了12导联心电图实时分析基于小变换的QRS波自动识别算法。

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  • Time-shift and scale parameter may be adjusted by the neural network. Therefore wavelet neural network may improve the detection rate and reliability of ECG signal.

    通过网络的学习自适应地调整尺度参数因子,提高特征提取能力。

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  • Time-shift and scale parameter may be adjusted by the neural network. Therefore wavelet neural network may improve the detection rate and reliability of ECG signal.

    通过网络的学习自适应地调整尺度参数因子,提高特征提取能力。

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