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用于全方位睡眠中的心冲击图、呼吸和姿势监测的单层超柔软可清洗智能纺织品。

Single-layered ultra-soft washable smart textiles for all-around ballistocardiograph, respiration, and posture monitoring during sleep.

机构信息

Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, PR China.

Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.

出版信息

Biosens Bioelectron. 2020 May 1;155:112064. doi: 10.1016/j.bios.2020.112064. Epub 2020 Mar 3.

Abstract

Good sleep is considered to be the cornerstone for maintaining both physical and mental health. However, nearly one billion people worldwide suffer from various sleep disorders. To date, polysomnography (PSG) is the most commonly used sleep-monitoring technology,however, it is complex, intrusive, expensive and uncomfortable. Unfortunately, present noninvasive monitoring technologies cannot simultaneously achieve high sensitivity, multi-parameter monitoring and comfort. Here, we present a single-layered, ultra-soft, smart textile for all-around physiological parameters monitoring and healthcare during sleep. With a high-pressure sensitivity of 10.79 mV/Pa, a wide working frequency bandwidth from 0 Hz to 40 Hz, good stability, and decent washability, the single-layered ultra-soft smart textile is simultaneously capable of real-time detection and tracking of dynamic changes in sleep posture, and subtle respiration and ballistocardiograph (BCG) monitoring. Using the set of patient generated health data, an obstructive sleep apnea-hypopnea syndrome (OSAHS) monitoring and intervention system was also developed to improve the sleep quality and prevent sudden death during sleep. This work is expected to pave a new and practical pathway for physiological monitoring during sleep.

摘要

好的睡眠被认为是维持身心健康的基石。然而,全球有近 10 亿人患有各种睡眠障碍。迄今为止,多导睡眠图(PSG)是最常用的睡眠监测技术,但它复杂、有侵入性、昂贵且不舒服。不幸的是,目前的非侵入性监测技术不能同时实现高灵敏度、多参数监测和舒适性。在这里,我们提出了一种单层、超软、智能纺织品,用于全方位的生理参数监测和睡眠期间的医疗保健。该单层超软智能纺织品具有 10.79 mV/Pa 的高压力灵敏度、0 Hz 至 40 Hz 的宽工作频率带宽、良好的稳定性和良好的可洗性,能够实时检测和跟踪睡眠姿势的动态变化以及细微的呼吸和心冲击图(BCG)监测。使用这组患者生成的健康数据,还开发了一个阻塞性睡眠呼吸暂停低通气综合征(OSAHS)监测和干预系统,以提高睡眠质量并防止睡眠中猝死。这项工作有望为睡眠期间的生理监测开辟一条新的实用途径。

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