Noise reduction in ECG signal is the foundation and precondition of the ECG signal analysis and distinguishing.
心电噪声抑制是心电信号分析、识别的基础和前提。
For getting accurate intrinsic characteristic message of physiology activity of patient in time, ECG signal analysis and processing becomes an important problem facing medicinal researchers.
对心电信号进行分析处理，以及时准确获取病人生理活动可靠的内部特征信息，是生物医学研究者所面临的重要问题。
The full function software can achieve the collection, storage, display, analysis and playback of ECG signal.
功能完善的软件系统可以完成心电信号的采集、存储、显示、分析、回放等功能。
Data compression and signal recognition of ECG take important role in cardiac computerized analysis.
对它的数据压缩和波形识别及诊断，一直是心电自动分析技术的重点。
An important function of automatic analysis system is the analysis and distinguishing to ECG signal accurately and reliably.
心电自动分析系统的重要功能是对心电信号进行精确而可靠的分析和识别。
It can effective - ly realize the acquisition, pretreatment and basic analysis of ECG and simultaneously derive respiratory signal from ECG.
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。
Objective:The purpose of this study was to compare time domain analysis (TDA) of signal-averaged electrocardiogram (SA-ECG) with spectrotemporal mapping (STM) in predicting arrhythmic events (AE).
目的：评价信号平均心电图（SA-ECG）时域分析和频谱时间标测在预测冠心病心律失常事件（AE）方面的差异。
We introduce the error analysis to the QRS wave-group integrated judgment of 12-lead synchronization ECG signal.
在12导联QRS波的综合判断上引入了误差分析的基本思想。
The wavelet transform does multi-resolution analysis on the signal which clarifies the electrocardiogram (ECG) signal characteristics to more easily detect the QRS complex.
小波分解对信号做多分辨率分解，可以突出信号的特征信息，便于QRS波群检测。
The key is detection of QRS complex in the analysis of ECG signal.
在心电图（ECG）数据分析中，其QRS综合波检测是关键。
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.
该算法利用连续小波变换及其在不同尺度上的变化规律对心电信号进行分析，可以对常见的六种心律失常进行自动判别。
Based upon this, we design a model machine and successfully sample the ECG signal, which is very important to design the high-accuracy and auto-analysis embedded ECG sampling system.
在此基础上完成了心电采集系统的样机，采集到完整的心电信号。论文的研究对高精度和自动分析功能的嵌入式心电采集系统的研发具有重要的意义。
Based upon this, we design a model machine and successfully sample the ECG signal, which is very important to design the high-accuracy and auto-analysis embedded ECG sampling system.
在此基础上完成了心电采集系统的样机，采集到完整的心电信号。论文的研究对高精度和自动分析功能的嵌入式心电采集系统的研发具有重要的意义。
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