Automatic quantitative analysis of human respired carbon dioxide waveform for asthma and non-asthma classification using support vector machine
Currently, carbon dioxide (CO2) waveforms measured by capnography are used to estimate respiratory rate and end-tidal CO2 (EtCO2) in the clinic. However, the shape of the CO2 signal carries significant diagnostic information about the asthmatic condition. Previous studies have shown a strong correla...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/84545/ http://dx.doi.org/10.1109/ACCESS.2018.2871091 |
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