New Aspects in Respiratory Epithelium Diagnostics Using Virtual Instrumentation

New Aspects in Respiratory Epithelium Diagnostics Using Virtual Instrumentation

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...

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Bibliographic Details
Main Authors: Dušan KONIAR, Libor HARGAŠ, Miroslav HRIANKA, Peter BÁNOVČIN
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2009-01-01
Series:Sensors & Transducers
Subjects:
Biomechanical system
Cilium
Trajectory
Image analysis
LabVIEW
Online Access:http://www.sensorsportal.com/HTML/DIGEST/january_09/P_372.pdf
Description
Summary: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.
ISSN:2306-8515
1726-5479

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