Literature DB >> 7836125

Three-dimensional optical analysis of chest wall motion.

G Ferrigno1, P Carnevali, A Aliverti, F Molteni, G Beulcke, A Pedotti.   

Abstract

A method for kinematic analysis of chest wall motion is presented, based on a television-image processor that allows a three-dimensional assessment of volume change of the trunk by automatically computing the coordinates of several passive markers placed on relevant landmarks of the thorax and abdomen. The parallel computation used for the image processing allows for a real time recognition of the passive markers with the necessary accuracy. A geometric model also allows the online computation of the contribution to the chest volume by the different parts. For this purpose, the model presented here is based on 54 tetrahedrons that can be grouped into 9 compartments and 3 sections representing 1) upper thorax (mainly reflecting the action of neck and parasternal muscles and the effect of pleural pressure), 2) lower thorax (mainly reflecting the action of diaphragm and the effect of pleural and abdominal pressure), and 3) abdomen (mainly reflecting the actions of diaphragm and abdominal muscles). By this model, the volume can also be split into three vertical sections pointing out asymmetries between the right and left sides. The method is noninvasive, nonionizing, and leaves the subject maximum freedom of movement during the test, thus being suitable for routine clinical analysis. The monitoring of the subject can be prolonged in time and can be performed in different postures: standing, sitting, and supine. The method was tested on 12 healthy subjects showing its good accuracy, reliability, and reproducibility.

Entities:  

Mesh:

Year:  1994        PMID: 7836125     DOI: 10.1152/jappl.1994.77.3.1224

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  8 in total

1.  Principal component analysis of chest wall movement in selected pathologies.

Authors:  G Ferrigno; P Carnevali
Journal:  Med Biol Eng Comput       Date:  1998-07       Impact factor: 2.602

2.  Analysis of the asymmetry of thoracic shape at rest: relationship with lateral thoracic deviation.

Authors:  Yoshihiro Aramaki; Yuuki Homma; Tetsuya Mamizu; Fujiyasu Kakizaki
Journal:  J Phys Ther Sci       Date:  2022-06-06

3.  Monitoring of Heart and Breathing Rates Using Dual Cameras on a Smartphone.

Authors:  Yunyoung Nam; Youngsun Kong; Bersain Reyes; Natasa Reljin; Ki H Chon
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

4.  Real-Time External Respiratory Motion Measuring Technique Using an RGB-D Camera and Principal Component Analysis.

Authors:  Udaya Wijenayake; Soon-Yong Park
Journal:  Sensors (Basel)       Date:  2017-08-09       Impact factor: 3.576

5.  Effects of the posterior pelvic tilt sitting posture on thoracic morphology and respiratory function.

Authors:  Yoshihiro Aramaki; Fujiyasu Kakizaki; Shinichi Kawata; Takuya Omotehara; Masahiro Itoh
Journal:  J Phys Ther Sci       Date:  2021-02-13

6.  INTRA- AND INTER-RATER RELIABILITY OF A BIOPHOTOGRAMMETRIC ASSESSMENT PROTOCOL FOR PRETERM INFANTS.

Authors:  Juliana Vieira Campos; Mariana Alves Moreno; Ricardo de Bastos Silva; Jessica Neves Quirino da Silva; Milena Ferreira de Carvalho; Rayssa Christina Abreu Dos Santos; Rodrigo Tosta Peres; Rosana da Silva Santos; Halina Cidrini Ferreira
Journal:  Rev Paul Pediatr       Date:  2020-12-07

7.  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

8.  Employing an Incentive Spirometer to Calibrate Tidal Volumes Estimated from a Smartphone Camera.

Authors:  Bersain A Reyes; Natasa Reljin; Youngsun Kong; Yunyoung Nam; Sangho Ha; Ki H Chon
Journal:  Sensors (Basel)       Date:  2016-03-18       Impact factor: 3.576

  8 in total

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