Segmented Wavelet Decomposition for Capnogram Feature Extraction in Asthma Classification
2014 ◽
Vol 18
(4)
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pp. 480-488
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Keyword(s):
A feature extraction method from capnograms used for classifying asthma is proposed based on wavelet decomposition. Its computational cost is low and its performance is adequate for classifying asthma in real time. Experiments performed using 23 capnograms from an asthma camp in Cuba showed 97.39% best classification accuracy. The time required for a physiological multiparameter monitor to determine the suitable features of capnograms averaged 8 seconds. The proposal is to be used as part of a decision support system for asthma classification being developed by TITECH and TMDU research groups.
2014 ◽
Vol 11
(8)
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pp. 2715-2722
Keyword(s):
2019 ◽
Vol 12
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pp. 175628641983868
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2020 ◽
Vol 9
(4)
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pp. 1802-1807
2013 ◽
Vol 718-720
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pp. 617-620
2009 ◽
Vol 129
(5)
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pp. 985-992
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2015 ◽
Vol 04
(02)
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pp. 394-397
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2018 ◽
Vol 6
(9)
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pp. 137-141
2012 ◽
Vol 38
(4)
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pp. 549-562
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