Literature DB >> 24263211

Respiratory rate assessments using a dual-accelerometer device.

Sara Lapi1, Federico Lavorini2, Giovanni Borgioli3, Marco Calzolai4, Leonardo Masotti4, Massimo Pistolesi2, Giovanni A Fontana5.   

Abstract

Monitoring of respiration-related thoracic movements may be useful to assess respiratory rate (RR) objectively. RR was measured during spontaneous breathing, voluntarily modified breathing, and exercise hyperpnoea in normal subjects via visual inspection, spirometry and a pair of accelerometers positioned on the torso. Spirometric and accelerometric values of RR recorded during relaxed breathing were (mean±SD) 21.44±1.41bpm and 21.06±2.17bpm; during voluntarily augmented breathing, these values rose to 29.44±4.61bpm and 29.23±5.33bpm, respectively; spirometric and accelerometric RR values did not differ in any of the cases. RR assessment was unaffected by recumbence. During handgrip, spirometric (16.43±3.10bpm) and accelerometeric (16.22±2.76bpm) control RR values did not differ and increased to comparable levels (24.22±7.30 and 24.82±5.45bpm, respectively) by the end of exercise. At rest, visual (18.94±3.45bpm) and accelerometric (19.27±3.83bpm) RR values were compliant in normal subjects as well as in scoliotic and obese patients. Accelerometers are a reliable tool for monitoring RR, during both eupnoea and stressed breathing.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometer; Exercise; Hyperpnoea; Respiratory rate

Mesh:

Year:  2013        PMID: 24263211     DOI: 10.1016/j.resp.2013.11.003

Source DB:  PubMed          Journal:  Respir Physiol Neurobiol        ISSN: 1569-9048            Impact factor:   1.931


  10 in total

1.  An easy and accurate respiratory rate monitor is necessary.

Authors:  Nicolas Marjanovic; Olivier Mimoz; Jérémy Guenezan
Journal:  J Clin Monit Comput       Date:  2019-07-24       Impact factor: 2.502

2.  A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units.

Authors:  Ambra Cesareo; Emilia Biffi; David Cuesta-Frau; Maria G D'Angelo; Andrea Aliverti
Journal:  Med Biol Eng Comput       Date:  2020-01-30       Impact factor: 2.602

3.  Respiratory Rate Estimation by Using ECG, Impedance, and Motion Sensing in Smart Clothing.

Authors:  Chien-Lung Shen; Tzu-Hao Huang; Po-Chun Hsu; Ya-Chi Ko; Fen-Ling Chen; Wei-Chun Wang; Tsair Kao; Chia-Tai Chan
Journal:  J Med Biol Eng       Date:  2017-07-01       Impact factor: 1.553

4.  Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing.

Authors:  David Naranjo-Hernández; Alejandro Talaminos-Barroso; Javier Reina-Tosina; Laura M Roa; Gerardo Barbarov-Rostan; Pilar Cejudo-Ramos; Eduardo Márquez-Martín; Francisco Ortega-Ruiz
Journal:  Sensors (Basel)       Date:  2018-07-03       Impact factor: 3.576

Review 5.  Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review.

Authors:  Peter H Charlton; Drew A Birrenkott; Timothy Bonnici; Marco A F Pimentel; Alistair E W Johnson; Jordi Alastruey; Lionel Tarassenko; Peter J Watkinson; Richard Beale; David A Clifton
Journal:  IEEE Rev Biomed Eng       Date:  2017-10-24

6.  Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory.

Authors:  M Fraiwan; L Fraiwan; M Alkhodari; O Hassanin
Journal:  J Ambient Intell Humaniz Comput       Date:  2021-04-03

7.  A dataset of lung sounds recorded from the chest wall using an electronic stethoscope.

Authors:  Mohammad Fraiwan; Luay Fraiwan; Basheer Khassawneh; Ali Ibnian
Journal:  Data Brief       Date:  2021-02-26

8.  Respiration pattern recognition by wearable mask device.

Authors:  Vishal Varun Tipparaju; Di Wang; Jingjing Yu; Fang Chen; Francis Tsow; Erica Forzani; Nongjian Tao; Xiaojun Xian
Journal:  Biosens Bioelectron       Date:  2020-09-03       Impact factor: 10.618

9.  An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram.

Authors:  Peter H Charlton; Timothy Bonnici; Lionel Tarassenko; David A Clifton; Richard Beale; Peter J Watkinson
Journal:  Physiol Meas       Date:  2016-03-30       Impact factor: 2.833

Review 10.  An Evaluation of Biometric Monitoring Technologies for Vital Signs in the Era of COVID-19.

Authors:  Christine Manta; Sneha S Jain; Andrea Coravos; Dena Mendelsohn; Elena S Izmailova
Journal:  Clin Transl Sci       Date:  2020-10-12       Impact factor: 4.689

  10 in total

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