Identity recognition system and method based on cardiac function dynamic monitoring and analysis

Abstract

The invention discloses an identity recognition system and method based on cardiac function dynamic monitoring and analysis. The identity recognition includes database establishment, feature spectrumextraction, feature query, comparison and an identity discrimination device and method. The identity recognition technology is applied to a portable smart heart patch system which is worn in the center of the human chest in the form of a wearable device, in-vitro monitoring is conducted on cardiac mechanical vibration, vibration information of the heart is obtained non-invasively in real time, bycombining digital processing, machine learning and artificial intelligence technology pattern recognition and intelligent diagnosis, cardiac physical structures and abnormal beating rhythms such as valvular disease, abnormal motion of the heart wall, cardiac ejection fraction change and arrhythmia are found in the early stage. By combining an early warning report system, the purposes of early warning and timely medical care of the heart disease are achieved. Early warning monitoring of severe arrhythmias, angina pectoris and acute myocardial infarction is achieved, and by contrasting rehabilitation monitoring after surgery, monitoring for home-based care people and sports people is achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent medical devices, and in particular relates to an identification system and method based on dynamic monitoring and analysis of heart function. Background technique [0002] Heart disease is the number one killer of human beings, and there are billions of heart patients worldwide today who need timely, appropriate and affordable medical care. The traditional electrocardiogram (ECG) can only detect abnormal ECG signals, but has little or no effect on the defects, lesions, aging, and loss of function of the physical structure of the heart itself (such as partial necrosis of the myocardium). Echocardiography, computed tomography (CT), magnetic resonance imaging (MRI) and myocardial perfusion nuclide scanning require large-scale equipment and professional personnel to operate, and the cost of detection is high, and it is difficult to monitor anytime and anywhere, losing valuable pathology Informati...

AI Technical Summary

Problems solved by technology

[0006] To sum up, the existing technologies and products exist: firstly, data analysis processing and disease diagnosis rely on cloud platform or offline computer equipment, which has poor real-time performance, affects the practicability of immediate response and immediate disposal, and low data availability

The second is that the supporting wearable device has a complex structure, high cost and inconvenient use

The third is that the software algorithm model is simple, resulting in weak disease diagnosis ability

Fourth, data security issues are not considered; fifth, commercial service models such as cardiac early warning, surgical rehabilitation, and home care for the elderly are not considered

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