A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection

A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection

We present a fully automatic and fast ECG arrhythmia classifier based on a simple brain-inspired machine learning approach known as Echo State Networks. Our classifier has a low-demanding feature processing that only requires a single ECG lead. Its training and validation follows an inter-patient pr...

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Bibliographic Details
Main Authors: Miquel Alfaras, Miguel C. Soriano, Silvia Ortín
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Physics
Subjects:
Echo State Networks
reservoir computing
arrhythmia classification
GPU
ECG
Online Access:https://www.frontiersin.org/article/10.3389/fphy.2019.00103/full

Internet

https://www.frontiersin.org/article/10.3389/fphy.2019.00103/full

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