Framework for machine learning artefact removal and empirical mode decomposition for capnogram based asthma detection
Capnography has received considerable attention owing to its important applications in assessing asthma and other pulmonary diseases. Monitoring abnormal changes in the recorded carbon dioxide waveform (i.e., capnogram signal) allows for detecting respiratory malfunctioning and thereby averting pote...
| मुख्य लेखक: | Elbadawy, Ismail Mohamed Ibrahim Bayoumy |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2023
|
| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.utm.my/102785/1/IsmailMohamedIbrahimPSKE2023.pdf.pdf |
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समान संसाधन
-
Empirical mode decomposition with least square support vector machine model for river flow forecasting
द्वारा: Ismail, Shuhaida
प्रकाशित: (2016) -
Application of variational mode decomposition in vibration analysis of machine components
द्वारा: Isham, Muhammad Firdaus
प्रकाशित: (2020) -
On Automatic Boundary Corrections Using Empirical Mode Decomposition
द्वारा: Mohamed Jaber, Abobaker
प्रकाशित: (2016) -
Noise eliminated ensemble empirical mode decomposition scalogram analysis for rotating machinery fault diagnosis
द्वारा: Atik, Faysal
प्रकाशित: (2022) -
Leak detection in medium density polyethylene pipe using ensemble empirical mode decomposition method
द्वारा: Makeen, Mohd Amin
प्रकाशित: (2018)