进行了心电信号预处理和基本特征点检测的研究。
The ECG preprocessing and characteristic point detection are studied.
本论文主要内容包括心电信号预处理技术、特征点检测技术以及诊断技术的研究。
The following work has been performed in this research: The ECG preprocessing and characteristic point detection are studied.
研究原始心电信号的预处理方法。
The pretreatment method of the electrocardiosignal has been carried on.
心电信号的预处理和波形检测是心电自动分析诊断系统的关键问题，直接决定着诊断与治疗心脏病的效果。
Signal preprocessing and waveforms detection for ECG are the key of the ECG monitoring diagnosis system for diagnosis and therapy.
在信号采集处理过程中主要研究了心电信号的识别算法，并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。
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.
实现了心电信号的采集、预处理、简单分析及从心电信号中提取呼吸信号等功能。
It can effective - ly realize the acquisition, pretreatment and basic analysis of ECG and simultaneously derive respiratory signal from ECG.
原始心电信号的预处理：利用小波降噪函数和滤波器去除电源干扰的高频噪声和基线漂移及抖动等干扰因素；
Original ECG preprocessing:remove noise such as high-frequency power supply and interference factors such as baseline drift by wavelet function and filter;
原始心电信号的预处理：利用小波降噪函数和滤波器去除电源干扰的高频噪声和基线漂移及抖动等干扰因素；
Original ECG preprocessing:remove noise such as high-frequency power supply and interference factors such as baseline drift by wavelet function and filter;
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