Biomedical Research and Innovation Institute of Cadiz (INiBICA), 11009 Cadiz, Spain.
Biomedical Engineering and Telemedicine Research Group, Department of Automation Engineering, Electronics and Computer Architecture and Networks, University of Cadiz, 11519 Puerto Real, Cadiz, Spain.
Sensors (Basel). 2020 Feb 20;20(4):1178. doi: 10.3390/s20041178.
Long-term oxygen therapy (LTOT) has become standard care for the treatment of patients with chronic obstructive pulmonary disease (COPD) and other severe hypoxemic lung diseases. The use of new portable O concentrators (POC) in LTOT is being expanded. However, the issue of oxygen titration is not always properly addressed, since POCs rely on proper use by patients. The robustness of algorithms and the limited reliability of current oximetry sensors are hindering the effectiveness of new approaches to closed-loop POCs based on the feedback of blood oxygen saturation. In this study, a novel intelligent portable oxygen concentrator (iPOC) is described. The presented iPOC is capable of adjusting the O flow automatically by real-time classifying the intensity of a patient's physical activity (PA). It was designed with a group of patients with COPD and stable chronic respiratory failure. The technical pilot test showed a weighted accuracy of 91.1% in updating the O flow automatically according to medical prescriptions, and a general improvement in oxygenation compared to conventional POCs. In addition, the usability achieved was high, which indicated a significant degree of user satisfaction. This iPOC may have important benefits, including improved oxygenation, increased compliance with therapy recommendations, and the promotion of PA.
长期氧疗（LTOT）已成为治疗慢性阻塞性肺疾病（COPD）和其他严重低氧血症肺部疾病的标准治疗方法。新的便携式氧气浓缩器（POC）在 LTOT 中的使用正在扩大。然而，氧气滴定问题并不总是得到妥善解决，因为 POC 依赖于患者的正确使用。算法的稳健性和当前血氧饱和度传感器的有限可靠性阻碍了基于血氧饱和度反馈的闭环 POC 新方法的有效性。在这项研究中，描述了一种新型智能便携式氧气浓缩器（iPOC）。所提出的 iPOC 能够通过实时对患者体力活动（PA）强度进行分类，自动调整氧气流量。它是为一组 COPD 患者和稳定的慢性呼吸衰竭患者设计的。技术试点测试显示，根据医嘱自动更新氧气流量的加权准确率为 91.1%，与传统 POC 相比，氧合作用普遍得到改善。此外，达到的可用性很高，这表明用户满意度有了显著提高。这种 iPOC 可能具有重要的益处，包括改善氧合、提高对治疗建议的依从性以及促进 PA。
