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Early Experiences in COPD Exacerbation Detection

机译：慢性阻塞性肺病加重检测的早期经验

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Chronic obstructive pulmonary disease (COPD) is a slowly progressive disease characterized by airway obstruction. Patients suffering from COPD could report exacerbations, which are deteriorations in respiratory health that worsen the course of the disease. The prompt recognition of an exacerbation from daily variations and its early treatment reduces the healing time and the risk of hospitalization. Using a pulse oximeter connected to a mobile phone, we remotely collect the values of heart rate and of the oxygen saturation on a cohort of seven elderly patients affected by severe COPD. We analyze if a score given by the weighted composition of these signals permits to detect the worrisome events prefiguring an exacerbation onset. A cross validation-based evaluation allows us to assess how the results generalize to an independent data set. We found that the tested score does not provide satisfactory results in terms of sensitivity and specificity, suggesting that it is not able to disambiguate between exacerbation onset and other COPD related events.
机译：慢性阻塞性肺疾病（COPD）是一种以气道阻塞为特征的缓慢进行性疾病。患有COPD的患者可能会报告病情加重，这是呼吸系统健康的恶化，加剧了疾病的进程。迅速认识到每日变化加重病情并对其进行早期治疗，可以减少愈合时间和住院风险。使用连接到手机的脉搏血氧仪，我们可以远程收集七名受严重COPD影响的老年患者队列的心率和血氧饱和度值。我们分析了由这些信号的加权组成给出的分数是否可以检测出恶化前发作的令人担忧的事件。基于交叉验证的评估使我们能够评估结果如何推广到一个独立的数据集。我们发现，就敏感性和特异性而言，测试得分不能提供令人满意的结果，这表明它不能消除发作加重与其他COPD相关事件之间的歧义。

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