Detection of Abnormal Cardiac Response Patterns in Cardiac Tissue Using Deep Learning

Detection of Abnormal Cardiac Response Patterns in Cardiac Tissue Using Deep Learning

This study reports a method for the detection of mechanical signaling anomalies in cardiac tissue through the use of deep learning and the design of two anomaly detectors. In contrast to anomaly classifiers, anomaly detectors allow accurate identification of the time position of the anomaly. The fir...

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Bibliographic Details
Main Authors: Xavier Marimon, Sara Traserra, Marcel Jiménez, Andrés Ospina, Raúl Benítez
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
deep learning
autoencoder
cardiac tissue
electrophysiology
electrostimulation
anomaly detection
Online Access:https://www.mdpi.com/2227-7390/10/15/2786

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