New Advance in the Multi-beat Body Surface Detection of His Bundle Waves

In this paper, we present a new non-invasive method for multi-beat body surface detection of His bundle waves. The purpose is to overcome the shortcomings of the existing methods such as low detection rate and poor SNR. In our study, we inherited some of the techniques which had been proved to be effective, for example, high resolution A/D converter, high common mode rejection ratio (CMRR) and high gain amplifier, etc. Meanwhile, we creatively used the pattern recognition technology and the optimal digital filter together to remove the electromyogram (EMG) interference. Both animal experiments and clinical trails show the followings. Firstly, jointly using the pattern recognition technology and the Wiener filter to remove the EMG interference is successful. Secondly, this method is superior to the existing body surface detecting method not only in the detection rate but also in the resolution. Lastly, the multi-beat body surface His bundle electrogram is non-invasive, but its waveform and the accuracy of parameters are almost the same as the intracardiac electrogram and there will be a good clinical application prospect.