Gerbelot R, Koenig A, Goyer C, Willemin J, Desir C, Porcherot J, Kane H Sylla, Guillemaud R, Borel J-C, Jallon P
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:2279-82. doi: 10.1109/EMBC.2015.7318847.
This paper presents a conformable wireless patch and its mobile application for physical activity, spO2 and pCO2 recording associated to digital biomarkers that aim at providing the clinicians with a reliable computer-aided diagnosis tool for rapid and continuous monitoring of sleep respiratory disorders. Each part of the system is described and results are presented and discussed. The reflectance sp02 sensor has been tested in vivo on several body sites and several subjects then compared to a reference device. The electrochemical tcpO2 sensor has been validated in vitro. Based on these physiological parameters, the proposed algorithms to automatically identifying sleep respiratory events are compared to a reference index.
本文介绍了一种适形无线贴片及其移动应用程序,用于记录与数字生物标志物相关的身体活动、血氧饱和度(spO2)和二氧化碳分压(pCO2),旨在为临床医生提供一种可靠的计算机辅助诊断工具,用于快速、持续监测睡眠呼吸障碍。对系统的每个部分进行了描述,并展示和讨论了结果。反射式spO2传感器已在多个身体部位和多个受试者身上进行了体内测试,然后与参考设备进行了比较。电化学tcpO2传感器已在体外得到验证。基于这些生理参数,将所提出的自动识别睡眠呼吸事件的算法与参考指标进行了比较。