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- Vol. 3 Issue 3
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Anomaly Detection Using Auto encoders
Authors
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.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 3 (2022)
- Published Online
- May-June 2022
- Pages
- 461-468
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: 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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