Institute for Microelectronics and Microsystems, National Research Council (CNR-IMM), Campus Ecotekne, Str. Prov. Lecce-Monteroni km 1.2, 73100 Lecce, Italy.
Institute of Clinical Physiology, National Research Council (CNR-IFC), Campus Ecotekne, Str. Prov. Lecce-Monteroni km 1.2, 73100 Lecce, Italy.
Sensors (Basel). 2020 Jan 24;20(3):653. doi: 10.3390/s20030653.
Smart Breath Analyzers were developed as sensing terminals of a telemedicine architecture devoted to remote monitoring of patients suffering from Chronic Obstructive Pulmonary Disease (COPD) and home-assisted by non-invasive mechanical ventilation via respiratory face mask. The devices based on different sensors (CO/O and Volatile Organic Compounds (VOCs), relative humidity and temperature (R.H. & T) sensors) monitor the breath air exhaled into the expiratory line of the bi-tube patient breathing circuit during a noninvasive ventilo-therapy session; the sensor raw signals are transmitted pseudonymized to National Health Service units by TCP/IP communication through a cloud remote platform. The work is a proof-of-concept of a sensors-based IoT system with the perspective to check continuously the effectiveness of therapy and/or any state of exacerbation of the disease requiring healthcare. Lab tests in controlled experimental conditions by a gas-mixing bench towards CO/O concentrations and exhaled breath collected in a sampling bag were carried out to test the realized prototypes. The Smart Breath Analyzers were also tested in real conditions both on a healthy volunteer subject and a COPD suffering patient.
智能呼吸分析仪作为远程医疗架构的传感终端而开发，该架构致力于对慢性阻塞性肺疾病（COPD）患者进行远程监测，并通过无创机械通气经由呼吸面罩对其进行家庭辅助治疗。这些设备基于不同的传感器（CO/O 和挥发性有机化合物（VOCs）、相对湿度和温度（R.H. & T）传感器），在无创通气治疗期间监测呼出气流进入双管患者呼吸回路呼气线的呼吸空气；传感器原始信号通过 TCP/IP 通信以化名形式传输到国民保健制度单位，并通过云远程平台进行传输。该工作是基于传感器的物联网系统的概念验证，旨在持续检查治疗效果和/或任何需要医疗保健的疾病恶化状态。通过气体混合台对 CO/O 浓度和在采样袋中收集的呼气进行的受控实验条件下的实验室测试，对所实现的原型进行了测试。智能呼吸分析仪还在健康志愿者和 COPD 患者的实际条件下进行了测试。
