Multiple neural network integration using a binary decision tree to improve the ECG signal recognition accuracy

Multiple neural network integration using a binary decision tree to improve the ECG signal recognition accuracy

The paper presents a new system for ECG (ElectroCardioGraphy) signal recognition using different neural classifiers and a binary decision tree to provide one more processing stage to give the final recognition result. As the base classifiers, the three classical neural models, i.e., the MLP (Multi L...

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Bibliographic Details
Main Authors: Tran Hoai Linh, Pham Van Nam, Vuong Hoang Nam
Format: Article
Language:English
Published: Sciendo 2014-09-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
neural classifiers
integration of classifiers
decision tree
arrhythmia recognition
hermite basis function decomposition
Online Access:https://doi.org/10.2478/amcs-2014-0047

Internet

https://doi.org/10.2478/amcs-2014-0047

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