Feature Extraction of Capnogram for Asthmatic Patient

Tan Teik Kean, A. Teo, M. Malarvili
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引用次数: 12

Abstract

In this paper, a total of 13 features were studied and automatically extracted to differentiate the asthmatic and nonasthmatic capnogram. From the results, slope ratio (SR) and the newly introduced Hjorth Parameters (HP2 - Mobility) are found to be the best among the investigated parameters in differentiating the two groups. Ongoing results show that parameters that associate with the slope of the capnogram are good index in differentiating the asthmatic and non-asthmatic capnogram.
哮喘患者脑电图特征提取
本文研究并自动提取了13个特征来区分哮喘与非哮喘性脑电图。结果表明,坡度比(SR)和新引入的Hjorth参数(HP2 - Mobility)是区分两类的最佳参数。目前的研究结果表明,与心电图斜率相关的参数是鉴别哮喘性和非哮喘性心电图的良好指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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