摘要
A method for feature extraction of the capnogram for asthma classification is proposed based on wavelet decomposition. The method requires low computational cost and shows adequate performance for a real time classification of asthma severity. The experiments include testing 23 capnograms collected from an Asthma Camp in Cuba on a personal computer architecture running Matlab. An estimation of the execution time for a physiological multiparameter monitor is obtained, showing an average of 8 sec to determine the suitable features. The proposal aims to be a part in the decision support system for asthma classification that is under development by research group of TITECH and TMDU.
| 源语言 | 英语 |
|---|---|
| 出版状态 | 已出版 - 2014 |
| 已对外发布 | 是 |
| 活动 | 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013 - Shanghai, 中国 期限: 18 10月 2013 → 21 10月 2013 |
会议
| 会议 | 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Shanghai |
| 时期 | 18/10/13 → 21/10/13 |
指纹
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Betancourt, J. P., Tangel, M. L., Yan, F., Otaño, M., Portela, A. E., Dong, F. Y., & Hirota, K. (2014). Capnogram feature extraction based on wavelet decomposition by segments for classification of asthma severity. 论文发表于 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013, Shanghai, 中国.