Suppr超能文献

在家中对睡眠进行不干扰的在线监测。

Unobtrusive online monitoring of sleep at home.

作者信息

Paalasmaa Joonas, Waris Mikko, Toivonen Hannu, Leppäkorpi Lasse, Partinen Markku

机构信息

Department of Computer Science, University of Helsinki, Helsinki, Finland.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3784-8. doi: 10.1109/EMBC.2012.6346791.

Abstract

We describe an online sleep monitoring service, based on unobtrusive ballistocardiography (BCG) measurement in an ordinary bed. The novelty of the system is that the sleep tracking web application is based on measurements from a fully unobtrusive sensor. The BCG signal is measured with a piezoelectric film sensor under the mattress topper, and sent to the web server for analysis. Heart rate and respiratory variation, activity, sleep stages, and stress reactions are inferred based on the signal. The sleep information is presented to the user along with measurements of the sleeping environment (temperature, noise, luminosity) and user-logged tags (e.g. stress, alcohol, exercise). The approach is designed for long-term use at home, allowing users to follow the development of their sleep over months and years. The service has also a medical use, as sleep disorder patients can be measured for long periods before and after interventions.

摘要

我们描述了一种在线睡眠监测服务,它基于在普通床上进行的非侵入式心冲击图(BCG)测量。该系统的新颖之处在于,睡眠跟踪网络应用程序基于来自完全非侵入式传感器的测量数据。BCG信号通过床垫上层的压电薄膜传感器进行测量,并发送到网络服务器进行分析。基于该信号推断心率和呼吸变化、活动、睡眠阶段以及压力反应。睡眠信息会与睡眠环境(温度、噪音、亮度)测量值以及用户记录的标签(如压力、酒精、运动)一起呈现给用户。该方法旨在供家庭长期使用,让用户能够跟踪数月乃至数年的睡眠发展情况。这项服务也具有医学用途,因为睡眠障碍患者在干预前后可以进行长时间测量。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验