Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings

• Κύριος συγγραφέας: Pham, Thuy T. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Θέματα: Biomedical engineering.; Data mining.; Computational intelligence.; Bioinformatics.; Biomedical Engineering and Bioengineering.; Data Mining and Knowledge Discovery.; Computational Intelligence.

This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, includ...

Πίνακας περιεχομένων:

• Introduction
• Background
• Algorithms
• Point Anomaly Detection: Application to Freezing of Gait Monitoring
• Collective Anomaly Detection: Application to Respiratory Artefact Removals
• Spike Sorting: Application to Motor Unit Action Potential Discrimination
• Conclusion .