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SleepCare: obstructive sleep apnoea screening using mobile health technology

机译:睡眠:使用移动健康技术筛选阻塞性睡眠呼吸暂停筛选

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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 widely-available 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)是睡眠期间呼吸暂停的疾病,其导致脱氧。它与包括心血管疾病,糖尿病和中风的严重病症的风险增加有关。 OSA流行率从全世界的2-7%范围内,但估计高达90%的病例是未确诊和未经治疗的。 OSA通常被诊断出患有昂贵的隔夜睡眠研究,其中记录和分析了大量生理信号。最近采用智能手机的增加导致了许多睡眠筛查应用的扩散,但没有现有的申请是基于科学证据。在该项目中,我们提出了一种涉及脉冲血氧仪,智能手机和在线服务器的新型OSA筛选框架。筛选算法已经在1007名患者的临床数据库中进行了评估,并在识别诊断为OSA的试验中显示了85.6%的准确性。该框架有可能为OSA筛选提供简单,便宜和广泛的方式,特别是在常规筛选有限的发展中国家。

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