Non-invasive technique for real-time myocardial infarction detection using faster R-CNN-Reference-Cited by-同舟云学术

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Non-invasive technique for real-time myocardial infarction detection using faster R-CNN

Published:2021-05-12 Issue:17 Volume:80 Page:26939-26967
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Mohan H. M.,Rao P. V.,Kumara H. C. Shivaraj,Manasa S.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-021-10957-2.pdf

Reference56 articles.

1. Albarracín GR, Chaves MA, Caballero AF (2019) Heart Attack Detection in Colour Images Using Convolutional Neural Networks. Applied Science 9:5065–5074

2. Amrawy MN (2015) Are currently available wearable devices for activity tracking and heart rate monitoring accurate, precise, and medically beneficial. Health Informatics Research 21(4):315–320

3. Azimi I, Anzanpour A (2016) Medical warning system based on internet of things using fog computing. International Workshop on Big Data and Information Security

4. Balla C, Pavasini R, Ferrari R (2018) Treatment of angina: where are we? Cardiology 140:52–67

5. Bizopoulos P, Koutsouris D (2019) Deep learning in cardiology. IEEE Rev Biomed Eng 12:168–193

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