Abstract—Non invasive method of wheezing detection using a simple and cost effective technique based on capacitance sensing methods, in which the instrument is supported by the software toolkit. The contraction and retrenchment of lungs are recorded using the data acquisition card through the capacitance sensors in the form of signals, at various locations in the lungs region for the breathing pattern signals. The recorded signal is processed using signal analyzing software sigview. The signal captured form the various parts of the lungs are analyzed using statistical signal tools. The statistical parameter gives a deviation in the data for the normal person and the wheezing affected patients. The area of deviation is studied for more number of the subjects from which the unsupervised classifier of wheeze is evaluated. This method of diagnosing the wheeze can replace the high cost tests like pulmonary function test.
Index Terms—capacitance sensor, breathing patterns, unsupervised classifier
N. R. Shanker is with Aalim Muhammed salegh college of Engineering (Email: nr_phd@yahoo.co.in, Phone:+91449444200777).
Cite : N. R. Shanker, K. Prabakaran and P. Arul, "Non Invasive Technique for Identification of Wheezing using Capacitance Sensors," International Journal of Engineering and Technology vol. 1, no. 2, pp. 169-171, 2009.
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