Intelligent blurry electrocardiogram on-line analyzer system

Abstract

The invention discloses an intelligent blurry electrocardiogram on-line analyzer system, which consists of an on-line data interface, an electrocardial vector parallel computer, a data fusion nerve network, an electrocardial interval vector multi-domain analyzer, an expert system, an application software packet and an off-line data interface. By adopting the MIMD parallel computer, the multiplex nerve network analysis, multi-sensor time sequence data fusion and electrocardial vector multi-domain analysis for a 12 lead electrocardial vector, automatic analysis conclusion of a main blurry electrocardiogram and blurry electrocardiogram attached figure information comprising the information of blood pressure, pulse, blood oxygen, respiration, activity range and activity content and the like are integrated to form a diagnostic report of time domain analysis and frequency domain analysis of vital sign signals comprising a 12 lead electrocardiogram, time domain analysis of various electrocardial interval dispersions and wavelet analysis of various electrocardial interval variability.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to a fuzzy electrocardiogram intelligent online analyzer system. Background technique [0002] The long-term electrocardiogram analysis originated in 1957. Dr. Norman J. Holter, an American experimental physicist, pioneered the continuous recording bioelectric technology (Holter technology), which can reach more than 24 hours of long-term dynamic electrocardiogram (DCG for short). , commonly known as Holter); in 1961, a dynamic electrocardiograph with clinical practical value was introduced. A two-channel dynamic electrocardiogram was traced; in 1987, the number of monitoring leads was increased to three (three-channel), and a three-channel dynamic electrocardiogram was traced; in 1992, the American Mortara equipment company produced the world's first 12-lead (twelve-channel) synchronous AECG (ambulatoryelectrocardiogram, referred to as AECG), but this 12-lead AECG instrument actua...

AI Technical Summary

Problems solved by technology

Although the second half of the invention (microcomputer system and application software package) can realize on-line analysis, the input vector nodes of its construction are 150, the hidden layer nodes are 50, and the output nodes are 6, which is equivalent to the input amount of The output of 150 heartbeat signals can be divided into 6 clusters, so the analysis time is estimated to be less than 3 minutes. It is a typical short-term ECG analysis instrument, and it is obviously difficult to carry nearly 100,000 heartbeat signals a day online. Analytical load

Although this invention has carried out great exploration and innovation in high-fidelity technology, it can not only detect tiny ECG signals such as P waves and T waves with high fidelity, but can also describe and reproduce QRS complexes with high fidelity. The time-domain signal of the entire cardiac cycle, and relying on the advancement of storage technology can also solve the problem of long-term recording and analysis, but the ECG spectrogram detector is based on a microcomputer, and can only perform offline analysis afterwards. Real-time online analysis cannot be performed, so there are still certain limitations

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