基于反射式动态血氧测量模块算法研究

Research on Algorithm Based on Reflective Dynamic Oximetry Module

随着我国社会经济的不断发展,国民生活水平日益提高,越来越多的人开始关注自身的健康,其中血氧饱和度(SpO_2)就是判定健康的重要指标之一。SpO_2是指动脉血中氧合血红蛋白(HbO_2)与去氧血红蛋白(Hb)的百分比,即SpO_2=HbO_2/(HbO_2+Hb)×100%,它是反映呼吸循环功能的重要生理参数。SpO_2动态测量是反映集体供氧是否正常的重要指标。本文主要以人们体验的角度出发,并且结合人机工程学和心理学等诸多方面,充分开展可穿戴式智能血氧运动检测系统的研究,并提出了智能血氧饱和度的监测技术,予以提高国民身体健康为主要目的。

With the continuous development of China’s social economy and the improvement of national living standards, more and more people are paying attention to their own health. Among them, blood oxygen saturation(SpO2) is one of the important indicators for determining health. SpO2 refers to the percentage of oxyhemoglobin(HbO2) and deoxygenated hemoglobin(Hb) in arterial blood, that is, SpO2=HbO2/(HbO2+Hb)×100%, which is an important physiological parameter reflecting respiratory circulatory function. SpO2 dynamic measurement is an important indicator to reflect whether the collective oxygen supply is normal. This article is based on the perspective of people’s experience, and combined with ergonomics and psychology, etc., fully develops the research of wearable intelligent blood oxygenation detection system. The monitoring technology of intelligent blood oxygen saturation is proposed to improve the health of the people.