Literature DB >> 28338381

A Novel Method to Compute Breathing Volumes via Motion Capture Systems: Design and Experimental Trials.

Carlo Massaroni1, Eugenio Cassetta1, Sergio Silvestri1.   

Abstract

Respiratory assessment can be carried out by using motion capture systems. A geometrical model is mandatory in order to compute the breathing volume as a function of time from the markers' trajectories. This study describes a novel model to compute volume changes and calculate respiratory parameters by using a motion capture system. The novel method, ie, prism-based method, computes the volume enclosed within the chest by defining 82 prisms from the 89 markers attached to the subject chest. Volumes computed with this method are compared to spirometry volumes and to volumes computed by a conventional method based on the tetrahedron's decomposition of the chest wall and integrated in a commercial motion capture system. Eight healthy volunteers were enrolled and 30 seconds of quiet breathing data collected from each of them. Results show a better agreement between volumes computed by the prism-based method and the spirometry (discrepancy of 2.23%, R 2 = .94) compared to the agreement between volumes computed by the conventional method and the spirometry (discrepancy of 3.56%, R 2 = .92). The proposed method also showed better performances in the calculation of respiratory parameters. Our findings open up prospects for the further use of the new method in the breathing assessment via motion capture systems.

Keywords:  breathing; computation methods; optoelectronic plethysmography; prisms; respiratory assessment; volume

Mesh:

Year:  2017        PMID: 28338381     DOI: 10.1123/jab.2016-0271

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  2 in total

1.  Polymeric piezoresistive airflow sensor to monitor respiratory patterns.

Authors:  Sajad Abolpour Moshizi; Abolfazl Abedi; Majid Sanaeepur; Christopher J Pastras; Zhao Jun Han; Shuying Wu; Mohsen Asadnia
Journal:  J R Soc Interface       Date:  2021-12-08       Impact factor: 4.118

2.  Investigating Stroke Effects on Respiratory Parameters Using a Wearable Device: A Pilot Study on Hemiplegic Patients.

Authors:  Joshua Di Tocco; Daniela Lo Presti; Martina Zaltieri; Marco Bravi; Michelangelo Morrone; Silvia Sterzi; Emiliano Schena; Carlo Massaroni
Journal:  Sensors (Basel)       Date:  2022-09-05       Impact factor: 3.847

  2 in total

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