This paper presents an algorithm to detect strength noise segments and denoise them in dynamic ECG for improving the accuracy of auto analysis.
为提高动态心电图自动分析的准确率，本文提出一种检测动态心电图中强噪声段及去噪的方法。
The design of the multi-channel bioelectric signal acquisition module is based on Micro-Controller-Unit (MCU) which can measure ECG and detect heart rate during sleep.
基于MCU的多路电生理信号采集模块适用于睡眠中的应用，为睡眠心率检测提供最直观、严格的手段。
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。
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