基于小波的心电信号有效性检测方法

目的：检测采集到的信号是否为有效心电信号,提高后续心电诊断和分析的准确率。方法：将采集到的信号进行预处理,即去噪处理,主要抑制基线漂移,50Hz工频及其谐波干扰和肌电干扰;取滑动窗长度为4s,检测该段内信号是否有效。为了验证算法的准确率及对不同心电波形是否具有普遍适用性,对MIT-BIH Arrhythmia Database中48个记录,CU及MIT-BIH Noise Stress Test Database中部分记录进行了仿真、验证。结果：仿真实验证明该方法能正确区分有效和无效信号,错检率较低,实现简单,适合实时处理。结论：本方法准确率高,能减少后续心电诊断和分析的计算量并提高准确率,特别是对室颤检测,符合心电分析的要求。

A Method for Detecting ECG Validity Based on Wavelet

Objective： To investigate the validity of the collected electrocardiogram （ECG） and improve the accuracy of ECG diagnosis and analysis. Methods： Signals were preprocessed by suppressing the noise such as baseline wander, power-line and harmonic interferences and electromygram （EMG）. Then, they were calculated by the proposed method with 4 s slipping windows. In order to evaluate the accuracy and general applicability of the algorithm for different ECG waveforms. This algorithm was evaluated on the complete MIT-BIH Arrhythmia Database, some datas from CU Database and the MIT-BIH Noise Stress Test Database. Results： Simulation results show that the method can successfully distinguish the valid and invalid ECG signals. The fallout ratio is below 5%. It is simple and easily implemented. Conclusion： This method has a higher accuracy and reduces the calculation for the subsequent diagnosis, such as ventricular fibrillation. It may serve in the real-time remote health monitor system.