组织科学与工程学报

Analysis of Capnogram Using Linear Predictive Coding (LPC) to Differentiate Asthmatic Conditions

Abstract

M Kazemi and MB Malarvili

In this paper, an analysis of capnogram to differentiate asthmatic and non-asthmatic patients is presented by using linear predictive coding (LPC) technique. In the previous studies, manual study on capnogram signal has been conducted by several researchers. All previous researches show significant correlation between the capnogram and asthmatic patient. However all of them are just manual study conducted through the conventional time domain method. In this preliminary, a number of 8 LPC coefficients (α1- α8) for both asthmatic (CAP) and non-asthmatic patients’ capnogram (CNP) are extracted. Usefulness and performance of these coefficients to differentiate the asthmatic conditions by means of receiver operating characteristic (ROC) curve analysis are shown. Our preliminary results show that α3, α4, α5, and α6 can be used to distinguish the asthmatic conditions.