ARCHIVES
Anomaly Detection Using Auto encoders
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 DOI
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.
Related Articles
2022
Enhancement of beam strength by using bamboo as reinforcement in place of steel bars
2022
A Review on Anomaly Detection using PYOD Package
2022
Traffic Rule Violation Detection system
2022
BRAIN TUMOUR IDENTIFICATION USING VGG-16
2022
Uninterrupted Power Supply to a Load using Auto-Selection between Four Different Sources
2022
Auto power supply control from four different sources
2022
Face Mask Detection
2022
Object Detection, Convert Object Name to Text and Text to Speech
2022
Chat application using MongoDB, Express.js, React.js, Node.js (MERN) stack
2022
Protection of Human Being from Sensible and Harmful Gases UsingIOT
