一种改进可穿戴设备的血氧测量精度的传感器设计与验证?

改进智能穿戴设备上传感器的数据采集方法,以及血氧测量和数据处理的方法,找到在动态测量过程中血氧数据更加精确的测量计算方法.修正现有算法分析模型,提取典型测量数据,设计新的变量标值,分析比较动态变化后的数据相关性,建立原始数据和输出动态血氧数据之间的关系变化模型,通过多人动态变化场景的数据采集实验验证了该方法的有效和精确.结果表明结合硬件设计、反射波长选择,通过血氧饱和度数值的动态变化反应血液中供氧情况,提出一个新的转换关系算法模型,得到精确度达到99％的血氧数据是非常实用和有效可行的方法.改进传统的投射式脉搏波血氧饱和度检测的算法模型到反射式脉搏波血氧饱和度的检测方式,提升其在智能穿戴设备上监测的血氧动态监测精度,该方法得到的数据对判定人体的健康状态和疾病类型非常有帮助.

Sensor Design and Verification for Improving Blood Oxygen Measurement Accuracy for Wearable Intelligence Devices

Improve the data acquisition method,the blood oxygen measurement method and data processin gmethod of sensor on intelligent wearable device,and to find a more accurate calculation method of blood oxygen data in the dynamic measurement process. Correcting the existing algorithm analysis model,extracting the typical measurement data,designing the new variable scale value,analyzing the data correlation after the dynamic changes,and establis-hing the relationship change model between the original data and the output dynamic blood oxygen data. Through data acquisition experiment of dynamic senarios,the effectiveness and accuracy of the method was validated. The re-sults show that the oxygen supply in blood was reflected according to the dynamic change of blood oxygen saturation value. A new conversion relation algorithm model was proposed by combining the hardware design and reflection wavelength selection. The accuracy of blood oxygen data obtained by the proposed method reached 99％,which veri-fied the feasibility and effectiveness of the proposed method. By converting the traditional projection pulse wave measurement of blood oxygen saturation algorithm model to the reflective pulse wave oxygen saturation detection method,the accuracy of dynamic blood oxygen data monitored by intelligent wear equipment is enhanced. The data obtained by such method can greatly help to determine the health status and disease type.