Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models

Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models

In this paper, two real-world medical classification problems using electrocardiogram (ECG) and auscultatory blood pressure (Korotkoff) signals are examined. A total of nine machine learning models are applied to perform classification of the medical data sets. A number of useful performance metrics...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Seera, M., Lim, C.P., Liew, W.S., Lim, E., Loo, C.K.
Format: Artikel
Sprache:English
Veröffentlicht: PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 2015
Schlagworte:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Zugang:http://eprints.um.edu.my/13942/1/Classification_of_electrocardiogram_and_auscultatory_blood_pressure.pdf

Online

http://eprints.um.edu.my/13942/1/Classification_of_electrocardiogram_and_auscultatory_blood_pressure.pdf

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