Health monitoring device

Abstract

The embodiment of the invention discloses a health monitoring device, which comprises an output assembly, a wearable assembly, a processing assembly and a battery. Wherein the wearable assembly is woven by a mixture of a conductive material and an insulating material, the conductive material forms a plurality of electrodes on the wearable assembly and a multi-mode physiological signal acquisitioncircuit is formed among the plurality of electrodes; the processing assembly comprises a scheduler and a plurality of arithmetic units, the scheduler is configured to receive the multi-modal physiological signals and schedule a plurality of arithmetic units to determine the health state information of a user and control the output assembly to output an early warning information. The arithmetic unit comprises a programmable logic gate array, and a task operation unit of a binary neural network model for determining health state information is fixedly arranged in the arithmetic unit; and the battery is used for supplying power to the wearable assembly, the processing assembly and the output assembly. The equipment has low power consumption, small size and is convenient to wear for a long time, and the heart failure can be more accurately predicted through the multi-mode physiological signals including the biological impedance 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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