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

摩擦电效应 纳米发生器 材料科学 压力传感器 睡眠(系统调用) 计算机科学 纳米技术 机械工程 复合材料 压电 工程类 操作系统
作者
Haiying Kou,Haiming Wang,Renwei Cheng,Yanjun Liao,Xue Shi,Jianjun Luo,Ding Li,Zhong Lin Wang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:14 (20): 23998-24007 被引量:96
标识
DOI:10.1021/acsami.2c03056
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
深情安青应助HMZ采纳,获得10
1秒前
1秒前
滴滴答完成签到 ,获得积分10
1秒前
1秒前
充电宝应助唠叨的以柳采纳,获得10
2秒前
2秒前
乐乐应助曦阳采纳,获得10
2秒前
我是老大应助zzq778采纳,获得10
2秒前
顺心电话发布了新的文献求助10
2秒前
黄启烽发布了新的文献求助10
2秒前
3秒前
Stanfuny完成签到,获得积分10
3秒前
3秒前
3秒前
充电宝应助123采纳,获得10
3秒前
4秒前
4秒前
Akim应助霸气曼雁采纳,获得10
4秒前
4秒前
淡然的夜柳应助鸭梨很大采纳,获得20
5秒前
5秒前
传奇3应助科研通管家采纳,获得10
5秒前
领导范儿应助科研通管家采纳,获得10
6秒前
大模型应助科研通管家采纳,获得10
6秒前
6秒前
小松鼠发布了新的文献求助10
6秒前
英俊的铭应助科研通管家采纳,获得10
6秒前
orixero应助科研通管家采纳,获得10
6秒前
小二郎应助科研通管家采纳,获得30
6秒前
田様应助科研通管家采纳,获得10
6秒前
6秒前
Owen应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
思源应助科研通管家采纳,获得10
6秒前
科研通AI2S应助科研通管家采纳,获得10
6秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
小七仔发布了新的文献求助10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016722
求助须知:如何正确求助?哪些是违规求助? 7599299
关于积分的说明 16153405
捐赠科研通 5164494
什么是DOI,文献DOI怎么找? 2764681
邀请新用户注册赠送积分活动 1745695
关于科研通互助平台的介绍 1634980