Edge-AI on Wearable Devices: Myocardial Infarction Detection with Spectrogram and 1D-CNN
Author:
Affiliation:
1. University of Naples Federico II,Department of Electrical Engineering and Information Technology (DIETI),Naples,Italy,80125
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10608458/10608460/10608624.pdf?arnumber=10608624
Reference26 articles.
1. and Joint ESC/ACCF/AHA/WHF Task Force for the Redefinition of Myocardial Infarction, ‘Universal definition of myocardial infarction’;Thygesen;Eur Heart J,2007
2. Prevalence, incidence, predictive factors and prognosis of silent myocardial infarction: A review of the literature
3. Silent Myocardial Ischemia;Gul,2024
4. Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction
5. Improved Spectrogram Analysis for ECG Signal in Emergency Medical Applications
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