Unobtrusive Sensors for Synchronous Monitoring of Different Breathing Parameters in Care Environments

Author:

Saied Imran1,Alzaabi Aaesha2ORCID,Arslan Tughrul2

Affiliation:

1. Advanced Care Research Centre, The University of Edinburgh, Edinburgh EH9 3JW, UK

2. School of Engineering, The University of Edinburgh, Edinburgh EH9 3JW, UK

Abstract

Respiratory problems are common amongst older people. The rapid increase in the ageing population has led to a need for developing technologies that can monitor such conditions unobtrusively. This paper presents a novel study that investigates Wi-Fi and ultra-wideband (UWB) antenna sensors to simultaneously monitor two different breathing parameters: respiratory rate, and exhaled breath. Experiments were carried out with two subjects undergoing three breathing cases in breaths per minute (BPM): (1) slow breathing (12 BPM), (2) moderate breathing (20 BPM), and (3) fast breathing (28 BPM). Respiratory rates were captured by Wi-Fi sensors, and the data were processed to extract the respiration rates and compared with a metronome that controlled the subjects’ breathing. On the other hand, exhaled breath data were captured by a UWB antenna using a vector network analyser (VNA). Corresponding reflection coefficient data (S11) were obtained from the subjects at the time of exhalation and compared with S11 in free space. The exhaled breath data from the UWB antenna were compared with relative humidity, which was measured with a digital psychrometer during the breathing exercises to determine whether a correlation existed between the exhaled breath’s water vapour content and recorded S11 data. Finally, captured respiratory rate and exhaled breath data from the antenna sensors were compared to determine whether a correlation existed between the two parameters. The results showed that the antenna sensors were capable of capturing both parameters simultaneously. However, it was found that the two parameters were uncorrelated and independent of one another.

Funder

Legal & General Group

Publisher

MDPI AG

Reference38 articles.

1. World Health Organization (2022, February 23). “Ageing and Health” Who.int. Available online: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health.

2. The aging lung;Lowery;Clin. Interv. Aging,2013

3. Dezube, R. (2022, February 23). Effects of Aging on the Respiratory System. Available online: https://www.msdmanuals.com/en-gb/home/lung-and-airway-disorders/biology-of-the-lungs-and-airways/effects-of-aging-on-the-respiratory-system.

4. Respiration rate and volume measurements using wearable strain sensors;Chu;Dig. Med.,2019

5. Standardization of spirometry;Graham;Eur. Respir. J.,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3