Coronary heart disease self-diagnosis system with electrocardiographic monitoring and self-adaptive fuzzy reasoning network

Abstract

The invention discloses a coronary heart disease self-diagnosis system with electrocardiographic monitoring and self-adaptive fuzzy reasoning network, which comprises an electrocardiogram acquisition terminal and a hospital monitoring center computer system. The electrocardiogram acquisition terminal is composed of an electrocardiographic monitoring and acquiring instrument and a data transmission module based on wired or wireless data transmission. Based on multi-dimension feature of wavelet transformation, the system of the invention completes the extraction for crest value points and the detection for ST segment in different dimensional decomposition coefficients by using quadratic spline wavelet transformation, thus electrocardiographic waveform of clinical patients can be accurately extracted. Based upon corrective extraction of characteristic points, six electrocardiogram ST segment morphologic models constructed by using self-adaptive fuzzy reasoning network training method succeed in ST segment morphologic recognition and replace the former human experience way for ST segment morphologic recognition and diagnosis of coronary heart disease.

Description

technical field [0001] The invention relates to an electrocardiographic monitoring and self-diagnosis system for coronary heart disease, in particular to a self-diagnosing system for electrocardiographic monitoring and self-adaptive fuzzy reasoning network for electrocardiographic data transmission through the Internet. Background technique [0002] According to the analysis of the World Heart Federation, the mortality rate of coronary heart disease is much higher than that of other diseases, and it has become the main disease that threatens the safety of human life. Early diagnosis of coronary heart disease is extremely important for guiding treatment and evaluating prognosis. At present, the main diagnostic methods for coronary heart disease are coronary angiography and ECG (ie, electrocardiogram). Because coronary angiography is expensive and invasive, ECG based on noninvasive detection and analysis has become the most commonly used method. Among them, the important ind...

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Problems solved by technology

[0003] The mainstream ECG monitoring equipment currently on the market includes: ECG Holter, ECG BP machine and ECG real-time monitoring system. Although they all occupy a part of the market, they all have deficiencies: 1. ECG Holter is usually used for patients with premature beats. It can only record ECG signals, but has no real-time analysis function, nor can it perform remote monitoring. After daily use, patients must go to the hospital to read, playback, and analyze the data in Holter through special equipment; 2. Compared with Holter, ECG BP machine has real-time detection function, but the whole alarming process needs to press the "record" key of the instrument first, and dial the emergency call beside the telephone, then point the phone at the instrument, press the "send" key and a series of operations to realize the monitoring. The whole process has many steps and is complicated, which is not suitable for patients with heart disease; 3. Although the ECG real-time monitoring system solves the problem of real-time detection of ECG signals, it is limited to a small area of ​​local area network in the hospital and does not have mobility. Occasional abnormal ECG waveforms are difficult to find on the hospital bed, and long-term hospital observation will seriously affect the patient's work and normal family life, so its application range and promotion are greatly limited. In reality, quite a few patients are If the disease occurs during daily work and life, the symptoms disappear when you go to the hospital for examination, so that the abnormal ECG cannot be detected in the hospital, and the diagnosis of the condition cannot be made, which delays the best time for treatment; ECG analysis is judged by doctors relying on experience, the workload is heavy, time-consuming and cumbersome, and the accuracy depends on the doctor's personal professional level and work responsibility

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