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Research Article
Anomaly Detection Using Auto encoders
Deepak Kumar C R1
Guhanesvar M2
Tilak Vijayaraghavan S3
Jona .J.B4
Gunasekaran S.A5
123 M.Sc. (integrated) Decision and computing Science, Coimbatore Institute of Technology, Coimbatore, India. 4 Associate, Professor, Department of Computer Applications, Coimbatore Institute of Technology, Coimbatore, India. 5Assistant Professor, Department of Computer Applications, Coimbatore Institute of Technology, Coimbatore, India.
Published Online: May-June 2022
Pages: 461-468
Cite this article
No DOIAbstract
Abstract: The ECG (Electrocardiogram) which records the electrical signal from the heart tocheck for different heart conditions. The ECG shows how a person's health condition is using its signals, we can determine the person’s health. The Autoencoders is an unsupervised neural network that learns. Autoencoders learn the data input patterns and reconstruct the output resembling the input. Using this, anomalies in the heart can be detected.
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