Method for monitoring human health

Abstract

Embodiments of the invention provide a method for monitoring human health. The method comprises acquiring first physiological parameters of human health monitoring by a photoelectric sensor, and acquiring second physiological parameters of human health monitoring by an inductance vibrated composite sensor at the same time; correcting the second physiological parameters using the first physiological parameters, acquiring third physiological parameters corresponding to the second physiological parameters; stopping the photoelectric sensor after capturing a user pulse signal using the third physiological parameters, and carrying out uninterrupted human health monitoring on a user in real time using the composite sensor, and acquiring fourth physiological parameters of human health monitoring. The inductance vibrated composite sensor can be stopped by the photoelectric sensor in the shortest time after the user pulse signal characters are locked, the composite sensor can automatically work without interrupt, real-time monitoring can more effectively prevent and predict corresponding health condition, so as to further improve user's usage experience by using a wearable device.

Description

technical field [0001] The invention relates to the technical field of human health monitoring, in particular to a method for monitoring human health. Background technique [0002] At present, the signal collection methods of human health monitoring equipment are basically using photoelectric sensors to collect relevant information. On this basis, algorithmic analysis is performed on the collected data and graphic information, and different conclusions are drawn. At present, relying solely on the information collected by photoelectric sensors is greatly affected by the external light environment, and the data accuracy is poor. Moreover, due to the high power consumption of photoelectric sensors, it cannot continuously monitor the human body for a long time. If this happens, the power of the device will be exhausted soon. , so now most of the devices are measured by the user actively through user intervention, that is, the user can measure data such as heart rate or measure h...

AI Technical Summary

Problems solved by technology

Due to the inability to perform uninterrupted detection, it is impossible to timely and effectively make health predictions in advance based on the changing trends of relevant indicators, or when an accident occurs suddenly when the user does not perform detection, the first alarm and rescue will be carried out

As a result, alarm information, location, heart rate change information, etc. cannot be transmitted to relevant institutions or individuals in the first place, thus affecting the user experience of wearable devices

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