The Application of Synthetic Signals for ECG Beat Classification

The Application of Synthetic Signals for ECG Beat Classification

A brief overview of electrocardiogram (ECG) properties and the characteristics of various cardiac conditions is given. Two different models are used to generate synthetic ECG signals. Domain knowledge is used to create synthetic examples of 16 different heart beat types with these models. Other tech...

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Bibliographic Details
Main Author: Brown, Elliot Morgan
Format: Others
Published: BYU ScholarsArchive 2019
Subjects:
ECG
synthetic data
SMOTE
signals
classification
machine learning
neural networks
Online Access:https://scholarsarchive.byu.edu/etd/8116
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=9116&context=etd

Internet

https://scholarsarchive.byu.edu/etd/8116
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=9116&context=etd

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