PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask

PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask
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DOI:
10.1145/3513023
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发表时间:
2021-06
期刊:
ACM Transactions on Computing for Healthcare (HEALTH)
影响因子:
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通讯作者:
Soha Rostaminia;S. Z. Homayounfar;A. Kiaghadi;Trisha L. Andrew;Deepak Ganesan
Soha Rostaminia;S. Z. Homayounfar;A. Kiaghadi;Trisha L. Andrew;Deepak Ganesan
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其他
文献类型:
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作者:
Soha Rostaminia;S. Z. Homayounfar;A. Kiaghadi;Trisha L. Andrew;Deepak Ganesan

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临床级可穿戴睡眠监测是一个具有挑战性的问题,因为它需要同时监测大脑活动、眼球运动、肌肉活动、心肺特征以及身体的总体运动。这需要在不同位置佩戴多个传感器,以及在头部放置令人不适的胶粘剂和分立电子元件。因此,现有的可穿戴设备要么在舒适度上打折扣,要么在跟踪睡眠变量的准确性上有所妥协。我们提出了PhyMask,这是一种全织物睡眠监测解决方案,它实用且连续使用时舒适,仅使用放置在头部的舒适织物传感器就能获取睡眠所需的所有感兴趣的信号。我们表明,PhyMask可用于精确测量精确睡眠阶段跟踪所需的所有信号,并在现实环境中稳健地提取诸如纺锤波和K复合波等高级睡眠标记。我们通过多导睡眠图(PSG)对PhyMask进行了验证,并表明它明显优于两款市售的睡眠跟踪可穿戴设备——Fitbit和Oura Ring。
Clinical-grade wearable sleep monitoring is a challenging problem since it requires concurrently monitoring brain activity, eye movement, muscle activity, cardio-respiratory features, and gross body movements. This requires multiple sensors to be worn at different locations as well as uncomfortable adhesives and discrete electronic components to be placed on the head. As a result, existing wearables either compromise comfort or compromise accuracy in tracking sleep variables. We propose PhyMask, an all-textile sleep monitoring solution that is practical and comfortable for continuous use and that acquires all signals of interest to sleep solely using comfortable textile sensors placed on the head. We show that PhyMask can be used to accurately measure all the signals required for precise sleep stage tracking and to extract advanced sleep markers such as spindles and K-complexes robustly in the real-world setting. We validate PhyMask against polysomnography (PSG) and show that it significantly outperforms two commercially-available sleep tracking wearables—Fitbit and Oura Ring.