Detecting ECG Validity Based on Wavelet

Cardiogram recordings include numerous noncardiac containments, which overlap with the cardiac components in the frequency domain. Despite the rich literature in ECG denoising field, there are still noise left in the ECG. Useful information can not be extracted from such ECG. Therefore, the detection ECG validity algorithm was proposed based on wavelet transform. First, signals were preprocessed by suppressing the noise such as baseline wander, power-line and harmonic interferences and electromyogram(EMG). Then, they were calculated by this method with 4 s slipping windows. In this way, accuracy and efficiency are improved greatly for the subsequent processing such as ventricular fibrillation (VF) detection. The algorithm is successfully evaluated on the complete MIT-BIH Arrhythmia Database, some data from CU Database and the MIT-BIH Noise Stress Test Database. Results show that the algorithm has a high quality and is easily implemented. It may serve in the real-time remote health monitor system.