Management service system and method based on dynamic monitoring and analysis of heart functions

Abstract

The invention discloses a health management service system and method based on dynamic monitoring and analysis of heart functions. The system includes a heart health service cloud platform, a connected heart function intelligent monitoring and early warning device, an intelligent mobile terminal and a management subsystem connected with a medical service institution information platform. The mechanical vibration of the heart is monitored in vitro by a portable intelligent wearable device, vibration information of the heart is obtained in real time and non-invasively, and with combination of digital processing, machine learning and artificial intelligence technology pattern recognition and intelligent diagnosis, the abnormal physical structure and pulse rhythm of the heart are found in theearly stage, such as valvular lesions, abnormal movement of heart wall, change of the ejection fraction of the heart, arrhythmia and the like. With combination of an early warning reporting system, the purposes of early warning and timely medical care for heart disease can be realized. The system has great significance for early warning and monitoring and contrast postoperative rehabilitation monitoring of serious arrhythmia, angina pectoris and acute myocardial infarction, daily monitoring of home-based elderly people and physical exercise people.

Description

technical field [0001] The invention belongs to the technical field of intelligent medical devices, and in particular relates to a health management service system 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 Informatio...

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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