无创床旁监护仪的技术现状。

Unobtrusive Bed Monitor State of the Art.

作者信息

Tamura Toshiyo, Huang Ming

机构信息

Future Robotics Organization, Waseda University, Tokyo 162-0044, Japan.

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

出版信息

Sensors (Basel). 2025 Mar 18;25(6):1879. doi: 10.3390/s25061879.

DOI:10.3390/s25061879

PMID:40293004

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11945381/

Abstract

On average, people spend more than a quarter of their day in bed. If physiological information could be collected automatically while we sleep, it would be effective not only for health management but also for disease prevention. Unobtrusive bed monitoring devices have been developed over the past 30 years or so to detect physiological information without awareness, and this method attracted attention again in the 2020s, with the proliferation of deep learning, AI, and IoT. This section describes the current state of the art.

摘要

平均而言，人们一天中超过四分之一的时间都在床上度过。如果能在我们睡觉时自动收集生理信息，这不仅对健康管理有效，而且对疾病预防也很有帮助。在过去30年左右的时间里，人们开发出了不引人注意的床监测设备，用于在不知不觉中检测生理信息，随着深度学习、人工智能和物联网的普及，这种方法在21世纪20年代再次受到关注。本节将介绍当前的技术现状。