slugLabVIEW Based Analysis for Classifying Lung Diseases
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 4
Abstract
The main aim of this project is to design and simulate LabVIEW Based Lung Analyzer. It offers flexibility, less cost, and user friendliness. The inspiratory and expiratory flow from the patient is given to the Spirometer. The pulmonary function data’s collected from Spirometer is analyzed and displayed using virtual instruments. The analysis is based on pattern classification using Artificial Neural Network (ANN). The Backpropagation Algorithm is applied for classifying the lung diseases. Finally the diseases are diagnosed as Normal, Restriction and Obstruction. A virtual instrument for the diagnosis of the respiratory diseases is developed using the software package LabVIEW. Compared to traditional hardware - based instruments, the major advantage of virtual instrument is its flexibility. Flexibility in adding or removing various instruments or devices based upon alterations in established protocols enables to delve deeper into the physiological abnormalities associated with cardiopulmonary disorders. The LabVIEW software enables an intuitive Graphical User Interface (GUI) based on the principles of a virtual instrument. In effect, the computer is transformed into a VI designed specifically for cardiopulmonary assessment. LabVIEW offers the necessary flexibility in a graphical programming and data - driven environment.
Authors and Affiliations
A. Sharmila, G. K. Rajini, V. Sankardoss
Keywords
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