Health Monitoring Equipment

Abstract

An embodiment of the present disclosure discloses a health monitoring device, including an output component, a wearable component, a processing component, and a battery. Among them, the wearable component is made of mixed and woven conductive materials and insulating materials, and the conductive material forms multiple electrodes on the wearable component and a multi-modal physiological signal acquisition circuit between multiple electrodes; the processing component includes a scheduler and multiple A computing unit, the scheduler is configured to receive multimodal physiological signals, schedule multiple computing units to determine the health status information of the user, and control the output component to output early warning information, the computing unit includes a programmable logic gate array, and the computing unit contains A task computing unit is fixedly provided with a binary neural network model for determining health state information; a battery is used to supply power to the wearable component, the processing component and the output component. The device has low power consumption, small size, and is easy to wear for a long time, and can more accurately predict heart failure through multimodal physiological signals including bioimpedance signals.

Description

technical field [0001] The present disclosure relates to the technical field of wearable devices, in particular to a health monitoring device. Background technique [0002] Cardiovascular disease is a serious threat to human health due to its concealment and suddenness, so early diagnosis and prevention are very important. At present, the 12-lead dynamic detector (Holter) commonly used in hospitals has a large power consumption and a large size. It is generally operated under the guidance of a doctor when worn, and cannot meet the needs of continuous medical detection for 3-7 days. Moreover, the current Holter's ECG monitoring and judgment needs to transmit data to the background server for calculation. This calculation lag is very obvious, and it cannot meet the needs of real-time calculation and all-weather instant warning. Furthermore, the inventors have found that ECG data alone cannot predict heart failure very well. Contents of the invention [0003] In order to so...

AI Technical Summary

Problems solved by technology

At present, the 12-lead dynamic detector (Holter) commonly used in hospitals has a large power consumption and large volume. It is generally operated under the guidance of a doctor when worn, and cannot meet the needs of continuous medical detection for 3-7 days.

Moreover, the current Holter’s ECG monitoring and judgment needs to transmit the data to the background server for calculation. This calculation lag is very obvious, and it cannot realize the real-time calculation and all-weather instant warning requirements.

Furthermore, the inventors have found that ECG data alone do not predict heart failure very well

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