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一种通过运动捕捉系统计算呼吸量的新方法:设计与实验试验

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

作者信息

Massaroni Carlo, Cassetta Eugenio, Silvestri Sergio

机构信息

Campus Bio-Medico di Roma University.

出版信息

J Appl Biomech. 2017 Oct 1;33(5):361-365. doi: 10.1123/jab.2016-0271. Epub 2017 Sep 21.

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  = .94) compared to the agreement between volumes computed by the conventional method and the spirometry (discrepancy of 3.56%, R  = .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.

摘要

呼吸评估可以通过使用运动捕捉系统来进行。为了根据标记点的轨迹计算作为时间函数的呼吸量,一个几何模型是必不可少的。本研究描述了一种通过使用运动捕捉系统来计算体积变化和计算呼吸参数的新模型。这种新方法,即基于棱柱的方法,通过从附着在受试者胸部的89个标记点定义82个棱柱来计算胸部内的体积。将用这种方法计算出的体积与肺活量计测量的体积以及通过基于胸壁四面体分解的传统方法计算出并集成在商业运动捕捉系统中的体积进行比较。招募了8名健康志愿者,并从他们每个人身上收集了30秒的安静呼吸数据。结果表明,与传统方法计算出的体积和肺活量计测量值之间的一致性(差异为3.56%,R = 0.92)相比,基于棱柱的方法计算出的体积与肺活量计测量值之间的一致性更好(差异为2.23%,R = 0.94)。所提出的方法在呼吸参数计算方面也表现出更好的性能。我们的研究结果为通过运动捕捉系统在呼吸评估中进一步使用这种新方法开辟了前景。

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