A wrist monitoring system with multiple photoelectric sensor modules

Abstract

The invention discloses a wrist monitoring system with multiple photoelectric sensor modules. The collection quality of the monitoring system is judged by using the theory that the correlation among photoelectric volume pulse wave tracing signals collected at the same area is high and by calculating the correlation of two photoelectric volume pulse wave tracing signals at the same area. The difference brought by the measuring result and the practical parameters caused by poor collection quality is avoided, and the measurement quality is improved.

Description

technical field [0001] The invention relates to the field of sensor monitoring, in particular to a multi-photoelectric sensor module wrist monitoring system. Background technique [0002] With the rapid development of social economy, people pay more and more attention to health status; especially with the growth of aging population, convenient and easy-to-use wrist health monitoring equipment has become an urgent demand of the society. [0003] At present, the existing wrist health monitoring equipment integrates the measurement of physiological parameters such as blood pressure, pulse rate and blood oxygen. However, the method of measuring blood pressure is to use an external cuff-type measurement method, using the wrist watch as the pump source, using a traditional cuff to measure blood pressure by blocking the blood flow in the wrist, not only the use of the equipment will be inconvenient problem, and the measurement time is 3 to 5 minutes, the efficiency is low, resulti...

AI Technical Summary

Problems solved by technology

However, when the human body is in motion, the photoelectric sensor module on the skin contact surface of the watch will not be in real contact with the skin as the wrist swings, which will cause fluctuations in the measured photoplethysmography signal, resulting in the obtained Physiological parameters such as pulse rate and blood oxygen parameters have large deviations

[0005] At present, in order to reduce this deviation, some scientific research units have proposed some implementable schemes, but these schemes can only improve the accuracy of signal acquisition, but cannot predict the quality of the signal

In this way, sometimes, even when the accuracy of signal acquisition is improved, the collected parameters such as pulse rate and blood oxygen still have a large deviation from the actual parameters.

Images