Analysis and classification of heart diseases using heartbeat features and machine learning algorithms

Analysis and classification of heart diseases using heartbeat features and machine learning algorithms

Abstract This study proposed an ECG (Electrocardiogram) classification approach using machine learning based on several ECG features. An electrocardiogram (ECG) is a signal that measures the electric activity of the heart. The proposed approach is implemented using ML-libs and Scala language on Apac...

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Bibliographic Details
Main Authors: Fajr Ibrahem Alarsan, Mamoon Younes
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Journal of Big Data
Subjects:
Heartbeats classification
Electrocardiogram (ECG)
Machine-learning libraries (MLlib)
Spark–Scala
Online Access:http://link.springer.com/article/10.1186/s40537-019-0244-x

Internet

http://link.springer.com/article/10.1186/s40537-019-0244-x

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