Coronary heart disease intelligent screening device on basis of machine learning methods

Abstract

The invention discloses a coronary heart disease intelligent screening device on the basis of machine learning methods. The coronary heart disease intelligent screening device comprises a basic information acquisition unit, a symptom and sign acquisition unit, a biochemical index acquisition unit, a living habit acquisition unit, an electrocardiography signal processing unit, a heart sound signalprocessing unit, a pulse wave signal processing unit, a physiological signal joint processing unit, a multi-information fusion unit, a coronary heart disease manual intelligent assessment unit, a health management scheme formulation unit and a coronary heart disease data server. The coronary heart disease intelligent screening device has the advantages that electrocardiography signals, heart soundsignals and pulse wave signals are deeply mined, specific indexes capable of improving the coronary heart disease screening accuracy are extracted, the electrocardiography signals and the pulse wavesignals are jointly synchronously analyzed, indexes capable of reflecting the coronary arteriosclerosis degrees are extracted, accordingly, coronary heart disease incidence risks can be assessed at multiple levels and multiple angles, and the coronary heart disease screening sensitivity can be improved; the coronary heart disease intelligent screening device has additional self-learning and re-optimization functions, and accordingly the coronary heart disease screening accuracy can be constantly improved.

Description

Technical field [0001] The invention relates to a coronary heart disease intelligent screening system based on a machine learning method, and belongs to the technical field of coronary heart disease screening. Background technique [0002] At present, coronary angiography is the "gold standard" for the detection of coronary heart disease, but it is a traumatic examination, high cost, and high technical requirements for the operator, and it is for the diagnosis of patients in the middle and late stages and is not suitable for early screening And health management. However, some current non-invasive detection methods for coronary heart disease only assess the incidence of coronary heart disease from a certain or several angles, and the accuracy is not high. [0003] Chinese patent document CN108577883A discloses "a coronary heart disease screening device, which includes: a pickup for obtaining heart sound signals; a pulse wave sensor for obtaining pulse wave signals; an electrocardi...

AI Technical Summary

Problems solved by technology

The device does not take into account the ST-segment waveform characteristics of the ECG signal, the pulse wave propagation velocity from the heart to the upper and lower extremity arteries and other indicators on the screening of coronary heart disease, and does not consider the symptoms of coronary heart disease such as chest pain, chest tightness, palpitation and shortness of breath.

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