PREDICTION OF CARDIAC ARRHYTHMIA USING RECURRENT NEURAL NETWORKS GATED RECURRENT UNITS WITH CAUSAL DIAGRAM

1U.M. Prakash, Anagha Chakravarthi, Gargi Singh Shekhawat

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Abstract:

Cardiac Arrhythmia is a medical condition in which irregularity in the heart beat is observed. The aim of this paper is to detect said arrhythmia using a dataset containing various patient details. A popular technique is used namely Recurrent neural networks (RNN) in which a comparatively newer technique is used i.e. Gated recurrent units. This is again implemented with the observations from causality diagram to localize on the right attributes to work with.

Keywords:

Cardiac Arrhythmia, Prediction, Recurrent neural networks (RNN), Long short-term memory, causality and Gated recurrent units.

Paper Details
Month2
Year2020
Volume24
IssueIssue 8
Pages12882-12889