【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 re
【机 构】
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Tokyo Institute of Technology,Japan;Central Institute of Digital Research,Cuba
【出 处】
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第三届先进计算智能与智能信息学国际研讨会(The Third International Workshop on Adv
论文部分内容阅读
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.
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