title: Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system.
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.
authors.affiliation: Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK.|Interacoustics Research Unit, c/o Technical University of Denmark, Bldg. 351, Kongens Lyngby, 2800, Denmark.
authors.forename: James M
authors.initials: JM
authors.lastname: Harte
authors.affiliation: Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK. c.k.golby@warwick.ac.uk.
authors.forename: Christopher K
authors.identifier: http://orcid.org/0000-0001-6825-5673
authors.initials: CK
authors.lastname: Golby
authors.affiliation: Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK.
authors.forename: Johanna
authors.initials: J
authors.lastname: Acosta
authors.affiliation: Heart of England NHS Foundation Trust, Birmingham, UK.
authors.forename: Edward F
authors.initials: EF
authors.lastname: Nash
authors.affiliation: WMG, University of Warwick, Coventry, UK.
authors.forename: Ercihan
authors.initials: E
authors.lastname: Kiraci
authors.affiliation: WMG, University of Warwick, Coventry, UK.
authors.forename: Mark A
authors.initials: MA
authors.lastname: Williams
authors.affiliation: Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK.
authors.forename: Theodoros N
authors.initials: TN
authors.lastname: Arvanitis
authors.affiliation: Heart of England NHS Foundation Trust, Birmingham, UK.|University of Birmingham, Birmingham, UK.
authors.forename: Babu
authors.initials: B
authors.lastname: Naidu
mesh_terms: D000328:Adult; D003550:Cystic Fibrosis / Q000503:physiopathology*; D003710:Demography; D005260:Female; D064368:Healthy Volunteers; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016014:Linear Models; D008168:Lung / Q000473:pathology / Q000503:physiopathology; D008297:Male; D009038:Motion; D009929:Organ Size; D011336:Probability; D013147:Spirometry; D035441:Thoracic Wall / Q000503:physiopathology*; D013997:Time Factors
keywords: Chest wall; Medical device design; Respiratory system diagnostic technique; Thoracic surgery; Thoracic wall