Abstract:

BACKGROUND: Traditional detection methods of HIS-Bundle are hundreds of nestification of surface electrocardiogram (ECG), via esophagus or via intracardiac catheter. Developing the analyzing system of extract HIS Bundle signals from surface ECG is not only beneficial to clinical diagnosis, but also beneficial to animal drug experiments.
OBJECTIVE: To detect the HIS-Bundle signals from surface ECG, and to develope the surface HIS Bundle signal analysis system.
METHODS: Surface ECG on rabbits served as the analyzed signal, and its intracardiac HIS-Bundle electrogram as the contrast signal. Stochastic resonance models, wavelet transform, the superposed average method and the coupling-adding method were used to analyze the surface ECG signals.
RESULTS AND CONCLUSION: The wavelet transform method can detect the HIS-Bundle signals from surface ECG, but not all HIS-Bundle signals can be recognized, such as the intracardiac signals can not detect some HIS-Bundle signals by the wavelet transform method. The recognition rate of detecting the HIS-Bundle signals from surface ECG by Stochastic resonance method is higher than the wavelet analysis method, but they have one thing in common, some HIS-Bundle signals disappear after dealing with intracardiac signals. This paper put forward the coupling-adding method to detect the HIS-Bundle signals from surface ECG, compared with traditional adding method, the HIS-Bundle signals is more obvious and the stacking fold is far less. These indicated that it is effectively to restrain the noise signals and extract HIS Bundle signals using Stochastic resonance, wavelet transformation, superposed average, and coupling-adding methods. This HIS Bundle signals analyzing system has strong practical value.