Personal Heart Health Monitoring Based on 1D Convolutional Neural Network
The automated detection of suspicious anomalies in electrocardiogram (ECG) recordings allows frequent personal heart health monitoring and can drastically reduce the number of ECGs that need to be manually examined by the cardiologists, excluding those classified as normal, facilitating healthcare d...
Main Authors: | Antonella Nannavecchia, Francesco Girardi, Pio Raffaele Fina, Michele Scalera, Giovanni Dimauro |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
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Series: | Journal of Imaging |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-433X/7/2/26 |
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