Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?

  • Authors:

  • Clara M. Ionescu;Jose Tenreiro Machado;Robin De Keyser

  • Affiliations:

  • Department of Electrical Energy, Systems and Automation, Ghent University, Technologiepark 913, Gent-Zwijnaarde 9052, Belgium;Institute of Engineering of Porto, Department of Electrical Engineering, Rua Dr. António Bernardino de Almeida 431, 4200-072 Porto, Portugal;Department of Electrical Energy, Systems and Automation, Ghent University, Technologiepark 913, Gent-Zwijnaarde 9052, Belgium

  • Venue:
  • Computer Methods and Programs in Biomedicine
  • Year:
  • 2011

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Abstract

Abstract: This paper presents the application of multidimensional scaling (MDS) analysis to data emerging from noninvasive lung function tests, namely the input respiratory impedance. The aim is to obtain a geometrical mapping of the diseases in a 3D space representation, allowing analysis of (dis)similarities between subjects within the same pathology groups, as well as between the various groups. The adult patient groups investigated were healthy, diagnosed chronic obstructive pulmonary disease (COPD) and diagnosed kyphoscoliosis, respectively. The children patient groups were healthy, asthma and cystic fibrosis. The results suggest that MDS can be successfully employed for mapping purposes of restrictive (kyphoscoliosis) and obstructive (COPD) pathologies. Hence, MDS tools can be further examined to define clear limits between pools of patients for clinical classification, and used as a training aid for medical traineeship.