Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system

Tools
- Tools
+ Tools

Harte, James M., Golby, Christopher, Acosta, Johanna, Nash, Edward F., Kiraci, Ercihan, Williams, M. A., Arvanitis, Theodoros N. and Naidu, Babu (2016) Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system. Medical & Biological Engineering & Computing, 54 (11). pp. 1631-1640. doi:10.1007/s11517-015-1433-1 ISSN 0140-0118.

[img]
Preview
PDF
WRAP_art%3A10.1007%2Fs11517-015-1433-1.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (2344Kb) | Preview
Official URL: http://dx.doi.org/10.1007/s11517-015-1433-1

Request Changes to record.

Abstract

Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations.

Item Type: Journal Article
Subjects: R Medicine > RC Internal medicine
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Respiratory organs -- Diseases, Chest -- Surgery, Thoracic Diseases -- Ultrasonography, Chest -- Diseases -- Imaging, Chest -- Diseases -- Treatment, Diagnosis, Laboratory, Medical instruments and apparatus -- Design and construction, Cystic fibrosis, Medical technology
Journal or Publication Title: Medical & Biological Engineering & Computing
Publisher: Springer
ISSN: 0140-0118
Official Date: November 2016
Dates:
DateEvent
November 2016Published
13 February 2016Available
11 December 2015Accepted
3 July 2015Submitted
Volume: 54
Number: 11
Page Range: pp. 1631-1640
DOI: 10.1007/s11517-015-1433-1
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 16 February 2016
Date of first compliant Open Access: 17 February 2016
Adapted As:

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us