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PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask
arXiv - CS - Human-Computer Interaction Pub Date : 2021-06-13 , DOI: arxiv-2106.07645
Soha Rostaminia, S. Zohreh Homayounfar, Ali Kiaghadi, Trisha L. Andrew, Deepak Ganesan

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 sleep stages and advanced sleep markers such as spindles and k-complexes robustly in the real-world setting. We validate PhyMask against polysomnography and show that it significantly outperforms two commercially-available sleep tracking wearables, Fitbit and Oura Ring.

中文翻译:

PhyMask:使用全纺织眼罩在睡眠期间稳健感知大脑活动和生理信号

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、心肺功能和全身运动。这需要在不同位置佩戴多个传感器,以及将不舒服的粘合剂和分立的电子元件放置在头部。因此,现有的可穿戴设备要么影响舒适度,要么影响跟踪睡眠变量的准确性。我们提出了 PhyMask,这是一种全纺织品睡眠监测解决方案,它实用且舒适,可连续使用,并且仅使用放置在头部的舒适纺织品传感器即可获取所有感兴趣的睡眠信号。我们表明 PhyMask 可用于准确测量睡眠阶段和高级睡眠标记,例如在现实世界环境中稳健的纺锤体和 k 复合体。我们针对多导睡眠图验证了 PhyMask,并表明它明显优于两种商用睡眠跟踪可穿戴设备 Fitbit 和 Oura Ring。
更新日期:2021-06-16
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