Mobile ECG QRS detection algorithm and implementation
Ying Sun1, Meikui Deng1, Shenghua Ye2
1Medical Instrument and Food Engineering College, University of Shanghai for Science and Technology, Shanghai, China,200093
2Division of Engineering Science, University of Toronto, Toronto, Canada, M5S 2E4
The ECG signal contains a lot of interference in the mobile ECG monitoring system. Reasonable selection of signal filtering and QRS wave detection method are the key to ECG signal analysis. According to the characteristics of ECG signals, the design of low-pass filtering and the improved median filter that can filter the interference has been conducted in the paper. Meanwhile, addressing to the limitation generated by selecting and fixing the median threshold using the traditional differential slope method, the paper has proposed the adaptive dynamic threshold and used quadratic difference algorithm to process signal in order to obtain R wave, and then locate Q and S wave based on R wave location. In addition, combining the characteristics of the QRS wave group, judgments on the missing and over detection are conducted, so that the algorithm is robust and has good fault-tolerant ability. The experimental results show that, this algorithm can not only satisfies the need of the real-time QRS wave detection, but is also more suitable for the transmission and processing of ECG signals in mobile ECG monitoring.