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传感器网络中协作与合作方案在居家人员非侵入式监测中的比较。

Comparison of Collaborative and Cooperative Schemes in Sensor Networks for Non-Invasive Monitoring of People at Home.

机构信息

Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico.

Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy.

出版信息

Int J Environ Res Public Health. 2023 Mar 27;20(7):5268. doi: 10.3390/ijerph20075268.


DOI:10.3390/ijerph20075268
PMID:37047884
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10094687/
Abstract

This paper looks at wireless sensor networks (WSNs) in healthcare, where they can monitor patients remotely. WSNs are considered one of the most promising technologies due to their flexibility and autonomy in communication. However, routing protocols in WSNs must be energy-efficient, with a minimal quality of service, so as not to compromise patient care. The main objective of this work is to compare two work schemes in the routing protocol algorithm in WSNs (cooperative and collaborative) in a home environment for monitoring the conditions of the elderly. The study aims to optimize the performance of the algorithm and the ease of use for people while analyzing the impact of the sensor network on the analysis of vital signs daily using medical equipment. We found relationships between vital sign metrics that have a more significant impact in the presence of a monitoring system. Finally, we conduct a performance analysis of both schemes proposed for the home tracking application and study their usability from the user's point of view.

摘要

本文着眼于医疗保健中的无线传感器网络 (WSN),它们可以远程监测患者。由于 WSN 在通信方面具有灵活性和自主性,因此被认为是最有前途的技术之一。然而,WSN 中的路由协议必须具有节能性和最小的服务质量,以免影响患者护理。这项工作的主要目的是比较 WSN 中路由协议算法中的两种工作方案(协作式和合作式)在家庭环境中对老年人状况进行监测的应用。该研究旨在优化算法的性能和用户使用的便利性,同时分析传感器网络对使用医疗设备日常分析生命体征的影响。我们发现生命体征指标之间存在关系,这些关系在存在监测系统的情况下具有更重要的影响。最后,我们对提出的两种方案进行了性能分析,并从用户的角度研究了它们的可用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/4eee1fcd1365/ijerph-20-05268-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/a2e2810b1ca6/ijerph-20-05268-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/8cf4be7aad6c/ijerph-20-05268-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/2e5e530530cb/ijerph-20-05268-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/59599bef22e8/ijerph-20-05268-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/4eee1fcd1365/ijerph-20-05268-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/a2e2810b1ca6/ijerph-20-05268-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/8cf4be7aad6c/ijerph-20-05268-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/2e5e530530cb/ijerph-20-05268-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/59599bef22e8/ijerph-20-05268-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/10094687/4eee1fcd1365/ijerph-20-05268-g005.jpg

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[1]
Comparison of Collaborative and Cooperative Schemes in Sensor Networks for Non-Invasive Monitoring of People at Home.

Int J Environ Res Public Health. 2023-3-27

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引用本文的文献

[1]
Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review.

J Med Internet Res. 2024-11-15

本文引用的文献

[1]
Statistical Study of User Perception of Smart Homes during Vital Signal Monitoring with an Energy-Saving Algorithm.

Int J Environ Res Public Health. 2022-8-12

[2]
Energy and Distance Based Multi-Objective Red Fox Optimization Algorithm in Wireless Sensor Network.

Sensors (Basel). 2022-5-15

[3]
Using IoT Assistive Technologies for Older People Non-Invasive Monitoring and Living Support in Their Homes.

Int J Environ Res Public Health. 2022-5-12

[4]
Agent-Based Medical Health Monitoring System.

Sensors (Basel). 2022-4-7

[5]
Unobtrusive Health Monitoring in Private Spaces: The Smart Home.

Sensors (Basel). 2021-1-28

[6]
Detection Principles of Temperature Compensated Oscillators with Reactance Influence on Piezoelectric Resonator.

Sensors (Basel). 2020-2-1

[7]
Nonintrusive Remote Monitoring of Sleep in Home-Based Situation.

J Med Syst. 2018-3-1

[8]
Smart Homes for Elderly Healthcare-Recent Advances and Research Challenges.

Sensors (Basel). 2017-10-31

[9]
A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time.

Sensors (Basel). 2017-2-10

[10]
Analysis of Android Device-Based Solutions for Fall Detection.

Sensors (Basel). 2015-7-23

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