Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system.
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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 11; pp. 1631 - 1641 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118887913&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118887913 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2016 vid: 54 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 118887913 118887913 NLM26872677 10.1007/s11517-015-1433-1 NLM26872677 118887913 ppf: 1631 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system. aug: au: Harte, James Golby, Christopher Acosta, Johanna Nash, Edward Kiraci, Ercihan Williams, Mark Arvanitis, Theodoros Naidu, Babu Harte, James M Golby, Christopher K Nash, Edward F Williams, Mark A Arvanitis, Theodoros N affil: Institute of Digital Healthcare, WMG , University of Warwick , Coventry UK sug: subj: Motion Imaging, Three-Dimensional Methods Research Subjects Thorax Physiopathology Cystic Fibrosis Physiopathology Body Weights and Measures Linear Regression Female Time Factors Adult Spirometry Male Demography Lung Physiopathology Probability Lung Pathology Scales Adult: 19-44 years Female Male ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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