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基于纺织压力传感的健康监测系统智能地垫:开发与可用性研究

Smart Floor Mats for a Health Monitoring System Based on Textile Pressure Sensing: Development and Usability Study.

作者信息

Kim Hyunsoo, Jang Seong Jin, Lee Hee Dong, Ko Jae Hoon, Lim Jee Young

机构信息

Department of Advanced Textile Research and Development, Korea Institute of Industrial Technology, Ansan, Republic of Korea.

出版信息

JMIR Form Res. 2023 Aug 7;7:e47325. doi: 10.2196/47325.

DOI:10.2196/47325
PMID:37548993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10442732/
Abstract

BACKGROUND

The rise in single-person households has resulted in social problems like loneliness and isolation, commonly known as "death by loneliness." Various factors contribute to this increase, including a desire for independent living and communication challenges within families due to societal changes. Older individuals living alone are particularly susceptible to loneliness and isolation due to limited family communication and a lack of social activities. Addressing these issues is crucial, and proactive solutions are needed. It is important to explore diverse measures to tackle the challenges of single-person households and prevent deaths due to loneliness in our society.

OBJECTIVE

Non-face-to-face health care service systems have gained widespread interest owing to the rapid development of smart home technology. Particularly, a health monitoring system must be developed to manage patients' health status and send alerts for dangerous situations based on their activity. Therefore, in this study, we present a novel health monitoring system based on the auto-mapping method, which uses real-time position sensing mats.

METHODS

The smart floor mats are operated as piezo-resistive devices, which are composed of a carbon nanotube-based conductive textile, electrodes, main processor circuit, and a mat. The developed smart floor system acquires real-time position information using a multiconnection method between the modules based on the auto-mapping algorithm, which automatically creates a spatial map. The auto-mapping algorithm allows the user to freely set various activity areas through floor mapping. Then, the monitoring system was evaluated in a room with an area of 41.3 m, which is embedded with the manufactured floor mats and monitoring application.

RESULTS

This monitoring system automatically acquires information on the total number, location, and direction of the mats and creates a spatial map. The position sensing mats can be easily configured with a simple structure by using a carbon nanotube-based piezo-resistive textile. The mats detect the activity in real time and record location information since they are connected through auto-mapping technology.

CONCLUSIONS

This system allows for the analysis of patients' behavior patterns and the management of health care on the web by providing important basic information for activity patterns in the monitoring system. The proposed smart floor system can serve as the foundation for smart home applications in the future, which include health care, intelligent automation, and home security, owing to its advantages of low cost, large area, and high reliability.

摘要

背景

单人家庭数量的增加引发了诸如孤独和孤立等社会问题,通常被称为“孤独致死”。多种因素导致了这种增长,包括对独立生活的渴望以及由于社会变革导致的家庭内部沟通挑战。独居的老年人由于家庭沟通有限和缺乏社交活动,特别容易感到孤独和孤立。解决这些问题至关重要,需要积极主动的解决方案。探索各种措施来应对单人家庭的挑战并防止我们社会中因孤独导致的死亡非常重要。

目的

由于智能家居技术的快速发展,非面对面医疗服务系统受到了广泛关注。特别是,必须开发一种健康监测系统来管理患者的健康状况,并根据其活动情况对危险情况发出警报。因此,在本研究中,我们提出了一种基于自动映射方法的新型健康监测系统,该方法使用实时位置感应垫。

方法

智能地板垫作为压阻式设备运行,由基于碳纳米管的导电织物、电极、主处理器电路和垫子组成。开发的智能地板系统基于自动映射算法,通过模块之间的多连接方法获取实时位置信息,该算法会自动创建空间地图。自动映射算法允许用户通过地板映射自由设置各种活动区域。然后,在一个面积为41.3平方米的房间里对监测系统进行了评估,该房间嵌入了制造的地板垫和监测应用程序。

结果

该监测系统自动获取垫子的总数、位置和方向信息,并创建空间地图。通过使用基于碳纳米管的压阻式织物,位置感应垫可以通过简单的结构轻松配置。由于垫子通过自动映射技术连接,它们能够实时检测活动并记录位置信息。

结论

该系统通过为监测系统中的活动模式提供重要的基础信息,实现了对患者行为模式的分析和网络医疗保健管理。所提出的智能地板系统因其低成本、大面积和高可靠性的优点,可作为未来智能家居应用的基础,这些应用包括医疗保健、智能自动化和家庭安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/be842a283f25/formative_v7i1e47325_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/3bbbd1f76a26/formative_v7i1e47325_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/0711b816467d/formative_v7i1e47325_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/4177959c9fa9/formative_v7i1e47325_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/f57b8b97818e/formative_v7i1e47325_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/a2dbe735103f/formative_v7i1e47325_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/be842a283f25/formative_v7i1e47325_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/3bbbd1f76a26/formative_v7i1e47325_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/0711b816467d/formative_v7i1e47325_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/4177959c9fa9/formative_v7i1e47325_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/f57b8b97818e/formative_v7i1e47325_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/a2dbe735103f/formative_v7i1e47325_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/10442732/be842a283f25/formative_v7i1e47325_fig6.jpg

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