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Sleepcare: obstructive sleep apnoea screening using mobile health technology

机译:睡眠保健:使用移动健康技术进行阻塞性睡眠呼吸暂停筛查

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摘要

Obstructive Sleep Apnoea (OSA) is a disorder characterised by pauses in breathing during sleep which lead to deoxygenation. It is associated with increased risk of serious conditions including cardiovascular disease, diabetes and stroke. OSA prevalence ranges from 2-7% throughout the world, but it is estimated that up to 90% of cases are undiagnosed and untreated. OSA is usually diagnosed with a costly overnight sleep study, where a large number of physiological signals are recorded and analysed. The recent increase in adoption of smartphones has led to the proliferation of many sleep screening applications, but no existing application is based on scientific evidence. In this project we propose a novel OSA screening framework involving a pulse oximeter, a smartphone and an online server. The screening algorithms have been evaluated on a clinical database of 1007 patients and show 85.6% accuracy on the test set in identifying those diagnosed with OSA. This framework has the potential to provide a simple, cheap and widelyavailable modality for OSA screening, particularly in developing countries where conventional screening is limited.
机译:阻塞性睡眠呼吸暂停(OSA)是一种以睡眠中呼吸暂停而导致脱氧为特征的疾病。它与包括心血管疾病,糖尿病和中风在内的严重疾病风险增加相关。 OSA的患病率在全球范围内为2-7%,但据估计多达90%的病例未得到诊断和治疗。通常通过一项昂贵的通宵睡眠研究来诊断OSA,该研究记录并分析了大量生理信号。最近智能手机采用率的增长导致许多睡眠筛查应用程序的激增,但是没有现有的应用程序基于科学证据。在这个项目中,我们提出了一种新颖的OSA筛选框架,其中包括脉搏血氧仪,智能手机和在线服务器。筛选算法已在1007例患者的临床数据库中进行了评估,并在测试集上显示出85.6%的准确率,可识别出诊断为OSA的患者。该框架有可能为OSA筛查提供一种简单,便宜且可广泛使用的方法,特别是在常规筛查受到限制的发展中国家。

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