基于小波的心电信号有效性检测方法  

A Method for Detecting ECG Validity Based on Wavelet

作　　者：田杰[1] 赵捷[1] 李群[1] 赵艳娜[1] 徐舫舟[1] 王越[1] 

机构地区：[1]山东师范大学物理与电子科学学院

出　　处：《现代生物医学进展》2009年第20期3938-3940,共3页Progress in Modern Biomedicine

基　　金：山东省自然科学基金(Y2007Z05);山东省科技攻关项目(2007GG10001018)

摘　　要：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。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.

关 键 词：心电图 小波变换 有效性检测 心电降噪 

分 类 号：R318.0[医药卫生—生物医学工程] TP391[医药卫生—基础医学]