Cardiac mapping signal analyzing and processing device and method

Abstract

The invention provides a cardiac mapping signal analyzing and processing device and method, in particular to a device and method for analyzing the rhythm state of cardiac mapping signals. The device of the invention comprises a mapping electrode, a multistage amplifier, a data acquisition card, an acquisition module, a signal analyzing and processing unit and an output device. The method of the invention is based on the autocorrelation function and is characterized in that the time interval between the maximum peak and the second submaximum peak in the autocorrelation function sequence is used to estimate the main rhythm activation time interval of the signal, and the amplitude value of the submaximum peak is used as an index for measuring the regularity of the signal. The method of the invention can be used for the site analysis of the electrical activity of the heart in animal experiments and can also be used to assist the clinical diagnosis. As the system adopts the integrated acquisition and analysis structure and the method of the device is simple and effective, the device is characterized by wide application range and high real-time.

Description

technical field [0001] The invention relates to a biomedical signal analysis and processing device and method, in particular to an analysis and processing device and method for analyzing cardiac mapping signals. Background technique [0002] Cardiac mapping refers to the process of identifying, judging and locating arrhythmias starting from the electrical activity of the heart. The usual practice of heart mapping is: first, divide the region of interest on the heart into small points, place mapping electrodes or inject voltage-sensitive fluorescent dyes in each point, and confirm the physical location of each point; Secondly, the potential changes caused by the excitation of cardiomyocytes at each point are recorded; finally, by observing and comparing the changes of the mapping signals of each point in the region of interest during the arrhythmia and the correlation and difference between them, the researcher can carefully and in-depth Understand the electrophysiological m...

AI Technical Summary

Problems solved by technology

However, because the Fourier transform will produce a large number of harmonic components, these harmonics may cause misjudgment of the analysis results; on the other hand, the cardiac mapping signal itself contains various complex frequency components, which will also cause power The shift of the maximum peak of the spectrum, thus affecting the analysis effect

Practical applications also show that the rhythm analysis method based on Fourier transform has good results only for weak rhythmic, complex and irregular cardiac mapping signals; but for strong rhythmic cardiac mapping signals, the calculation results are often different from the real situation There is a big discrepancy

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