A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms

• Published in: Expert systems with applications Vol. 223; p. 119799
• Main Authors: Haba, Rotem, Singer, Gonen, Naftali, Sara, Kramer, Mordechai R., Ratnovsky, Anat
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2023
• Subjects: Asthma; Electroencephalogram; Ensemble learning; Machine learning; Ordinal classification; Electroencephalogram; Ensemble learning; Ordinal classification; Machine learning; Asthma

•EEG signals were used for the identification of asthma severity levels.•Three methodologies were designed to identify a subject’s asthma severity levels.•Identifications were made based on subject’s data, new subject’s data, and mixed data.•In two of the methodologies, the ensemble and XGBoost outp...