Autonomous Detection of Cardiac Ailments using Longshort term Memory Model based on Electrocardiogram signals

Volume 20 No 7 (2022)

L. Alekhya, P. Rajesh Kumar, A. Venkata Sriram

DOI: 10.14704/nq.2022.20.7.NQ33431

Abstract

A Recurrent Neural Network (RNN) models are widely used for automation among the latest emerging technologies of Artificial Intelligence. Because of their ability to process temporal data they are applied for Cardiac ailments detection based on the hand-crafted feature set obtained by processing Electrocardiogram (ECG) of the ailments

Keywords

Recurrent Neural Network, Long short-term memory, Maximal Overlap Discrete wavelet packet transform, Mathew’s Correlation Coefficient.

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