At-home wireless monitoring of acute hemodynamic disturbances to detect sleep apnea and sleep stages via a soft sternal patch.
At-home wireless monitoring of acute hemodynamic disturbances to detect sleep apnea and sleep stages via a soft sternal patch.
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在家无线监测急性血流动力学紊乱，通过软胸骨贴片检测睡眠呼吸暂停和睡眠阶段。
DOI：
10.1126/sciadv.abl4146
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发表时间：
2021-12-24
期刊：
影响因子：
13.6
通讯作者：
Yeo WH
中科院分区：
文献类型：
--
作者：
Zavanelli N;Kim H;Kim J;Herbert R;Mahmood M;Kim YS;Kwon S;Bolus NB;Torstrick FB;Lee CSD;Yeo WH
对软材料和柔性机械的系统研究产生了一种能够检测睡眠阶段和睡眠呼吸暂停的软贴片。阻塞性睡眠呼吸暂停(OSA)影响全球9亿多成年人，如果不治疗可能会造成严重的健康并发症；然而，80%的病例仍然没有得到诊断。关键的是，当前的诊断技术从根本上受到低吞吐量和高故障率的限制。在这里，我们报告了一种无线的、完全集成的柔软贴片，通过分析和计算研究优化了皮肤状机制，从胸骨捕获地震图、心电图和光体积图，使临床医生能够在家庭睡眠测试中调查OSA对心血管的反应。在对有症状的受试者和对照受试者进行的初步试验中，该软设备显示出极好的检测血氧饱和度、呼吸努力、呼吸频率、心率、心脏射血前期和射血时间、主动脉开放机制、心率变异性和睡眠分期的能力。最后，在对有症状的患者进行的初步家庭试验中，与经专业认证的睡眠临床医生评分的数据相比，机器学习被用于自动检测呼吸暂停和低呼吸暂停，灵敏度和准确率分别为100%和95%。
A systematic study of soft materials and flexible mechanics yields a soft patch capable of detecting sleep stages and sleep apnea. Obstructive sleep apnea (OSA) affects more than 900 million adults globally and can create serious health complications when untreated; however, 80% of cases remain undiagnosed. Critically, current diagnostic techniques are fundamentally limited by low throughputs and high failure rates. Here, we report a wireless, fully integrated, soft patch with skin-like mechanics optimized through analytical and computational studies to capture seismocardiograms, electrocardiograms, and photoplethysmograms from the sternum, allowing clinicians to investigate the cardiovascular response to OSA during home sleep tests. In preliminary trials with symptomatic and control subjects, the soft device demonstrated excellent ability to detect blood-oxygen saturation, respiratory effort, respiration rate, heart rate, cardiac pre-ejection period and ejection timing, aortic opening mechanics, heart rate variability, and sleep staging. Last, machine learning is used to autodetect apneas and hypopneas with 100% sensitivity and 95% precision in preliminary at-home trials with symptomatic patients, compared to data scored by professionally certified sleep clinicians.
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