A cardiovascular disease early warning system based on deep fusion of multiple physiological signals

Abstract

The invention provides a cardiovascular disease early warning system based on the deep fusion of multiple physiological signals, which relates to the technical field of wearable health medical monitoring. The system includes a wearing device, a multi-physiological signal acquisition device, a transmission device, an intelligent terminal device and a cloud server. The multi-physiological signal acquisition device and the transmission device are arranged on the wearing device. The multi-physiological signal collecting device collects the physiological signal of the detected person and transmitsthe collected physiological signal to the intelligent terminal equipment through the transmitting device. The multi-physiological signal collecting device collects the physiological signal of the detected person and transmits the collected physiological signal to the intelligent terminal equipment. The intelligent terminal device has built-in program for judging whether the detected person is at risk of cardiovascular disease and transmitting the processed physiological signals to the cloud server. The cloud server has a built-in program for classifying and diagnosing diseases of multiple physiological signals of the wearer and feeding back the diseases to the intelligent terminal. The cardiovascular disease early warning system based on the deep fusion of multiple physiological signals provided by the invention provides more accurate reference for the evaluation of cardiac function and the diagnosis of cardiac disease.

Description

technical field [0001] The invention relates to the technical field of wearable health medical monitoring, in particular to a cardiovascular disease early warning system based on deep fusion of multiple physiological signals. Background technique [0002] Cardiovascular disease has become a very common disease, seriously threatening human health. However, under the background of the relative scarcity of medical resources and the intensification of aging in my country, intelligent and personalized medical diagnosis methods have great development prospects. In the future, wearable health monitoring devices that can integrate multiple physiological parameters will become the main force of digital mobile medical care. [0003] Among many physiological signals, ECG signal is an important means to detect heart disease, especially sudden and random cardiovascular disease. The shape, intensity and speed of the pulse wave reflect the important physiological and pathological informa...

AI Technical Summary

Problems solved by technology

However, under the premise of obtaining accurate ECG signals, joint monitoring and reference of multiple physiological signals, and deep fusion based on the detection of multiple physiological parameters and ECG signal analysis of different patients have not been realized, so as to screen for recurrence of the disease Diagnosis and personalized early warning of cardiovascular disease risk; the invention patent with patent number 201510873447.4 proposes a physiological signal detection system based on multi-channel flexible fusion, which solves the problem of conflicting information fusion in multi-channel binary detection, and the patent No. For the invention patent of 201680078461.8, a physiological parameter signal fusion processing method, device and system were proposed, which solved the joint judgment mechanism among various physiological parameters. These two patents are mainly aimed at doctors in the process of joint diagnosis of multiple physiological signals. Provides auxiliary decision-making solutions for doctors' diagnosis, but does not provide real-time disease diagnosis and early warning results

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