Recent development of respiratory rate measurement technologies

Author:

Liu HaipengORCID,Allen John,Zheng Dingchang,Chen FeiORCID

Abstract

Abstract Respiratory rate (RR) is an important physiological parameter whose abnormality has been regarded as an important indicator of serious illness. In order to make RR monitoring simple to perform, reliable and accurate, many different methods have been proposed for such automatic monitoring. According to the theory of respiratory rate extraction, methods are categorized into three modalities: extracting RR from other physiological signals, RR measurement based on respiratory movements, and RR measurement based on airflow. The merits and limitations of each method are highlighted and discussed. In addition, current works are summarized to suggest key directions for the development of future RR monitoring methodologies.

Publisher

IOP Publishing

Subject

Physiology (medical),Biomedical Engineering,Physiology,Biophysics

Reference235 articles.

1. Cardiorespiratory system monitoring using a developed acoustic sensor;Abbasi-Kesbi;Healthc. Technol. Lett.,2018

2. UbiBreathe: a ubiquitous non-invasive WiFi-based breathing estimator;Abdelnasser,2015

3. Biosignal PI, an affordable open-source ECG and respiration measurement system;Abtahi;Sensors,2015

4. Secondary transform decoupling of shifted nonstationary signal modulation components: application to photoplethysmography;Addison;Int. J. Wavelets Multiresolut. Inf. Process.,2004

5. Developing an algorithm for pulse oximetry derived respiratory rate (RRoxi): a healthy volunteer study;Addison;J. Clin. Monit. Comput.,2012

Cited by 167 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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