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Vol. 100, Issue 1, January 2009, pp.58-64





New Aspects in Respiratory Epithelium Diagnostics Using Virtual Instrumentation


Dušan KONIAR, Libor HARGAŠ, 1Miroslav HRIANKA, 2Peter Bánovčin

1Department of Mechatronics and Electronics, Faculty of Electrical Engineering,

University of Žilina, Univerzitná 1, 010 26, Žilina, Slovak republic

2Clinic of Children and Youths, Faculty Hospital in Martin,
Kollárova 2, 036 01 Martin, Slovak republic

E-mail: dusan.koniar@fel.uniza.sk



Received: 18 December 2008   /Accepted: 19 January 2009   /Published: 26 January 2009


Abstract: Subject of interest is trajectory analysis of moving object. Object is represented by respiratory epithelium cilium. Cilium trajectory and another parameter – beating frequency – are very important parameters in respiratory apparatus diagnostics. Main method of motion detection is Geometric Matching and gray level variance capturing. Primary experiments were taken on video phantoms simulating cilia movement using two camera systems: Marlin and PONTOS. All the phantoms were processed in LabVIEW development environment. Article focuses on acquisition conditions, preprocessing of videosequences and basic measurement on acquired phantoms.


Keywords: Biomechanical system, Cilium, Trajectory, Image analysis, LabVIEW


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