A difference method for detection of QRS is proposed in this paper. By calculating the difference function of the Electrocardiogram (ECG), the method can eliminate or weaken the impact of the P wave, T wave and other interference signals onto the detection of QRS. It can solve the problem of low detection accuracy yielded by the traditional method, and can solve the problem of heavily loaded computation caused by the complicated algorithm of the wavelet method. Experiments using data from the MIT-BIH arrhythmia database illustrate that this method has good adaptability for various ill-conditioned ECG waves. This method has found clinical applications in the '12 lead ECG system' developed by the authors. The detection accuracy rate is higher than 99%.
Algorithms ; Electrocardiography ; methods ; Humans ; Signal Processing, Computer-Assisted