4.8 Article

Smart Pillow Based on Flexible and Breathable Triboelectric Nanogenerator Arrays for Head Movement Monitoring during Sleep

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 14, Issue 20, Pages 23998-24007

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.2c03056

Keywords

sleep monitoring; smart pillow; triboelectric nanogenerator; pressure sensor array; head movement

Funding

  1. National Key R&D Project from the Ministry of Science and Technology of the People's Republic of China [2021YFA1201601]
  2. National Natural Science Foundation of China [52002028, 52192610]

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A pressure-sensitive smart pillow is developed using a flexible and breathable triboelectric nanogenerator (TB-TENG) sensor array to monitor head movement during sleep. The smart pillow also has an early warning function for falling out of bed.
Sleep quality plays an essential role in human health and has become an index for assessing physical health. Self-powered, sensitive, noninvasive, comfortable, and low-cost sleep monitoring sensors for monitoring sleep behavior are still in high demand. Here, a pressure-sensitive, noninvasive, and comfortable smart pillow is developed based on a flexible and breathable triboelectric nanogenerator (FB-TENG) sensor array, which can monitor head movement in real time during sleep. The FB-TENG is based on flexible and breathable porous poly(dimethylsiloxane) (PDMS) with a fluorinated ethylene propylene (FEP) powder and exhibits pressure sensitivity and durability. The electrical output of the FB-TENG is further optimized by modifying the porous structure and the FEP powder. Combining the FB-TENG and the flexible printed circuit (FPC), a self-powered pressure sensor array is fabricated to realize touch sensing and motion track monitoring. The smart pillow is formed by laying the self-powered pressure sensor array on an ordinary pillow to realize real-time monitoring of the head position in a static state and head movement trajectory in a dynamic state during sleep. Additionally, the smart pillow also has an early warning function for falling out of bed. This work not only provides a viable sensing device for sleep monitoring but also could be extended to real-time monitoring of some diseases, such as brain diseases and cervical spondylosis, in the future. It is expected to introduce a practical strategy in the real-time mobile healthcare field for disease management.

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