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...
| Egile Nagusiak: | , , , , |
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| Formatua: | Artikulua |
| Hizkuntza: | English |
| Argitaratua: |
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
2015
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| Gaiak: | |
| Sarrera elektronikoa: | http://eprints.um.edu.my/13942/1/Classification_of_electrocardiogram_and_auscultatory_blood_pressure.pdf |