A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram

The success of deep learning over the traditional machine learning techniques in handling artificial intelligence application tasks such as image processing, computer vision, object detection, speech recognition, medical imaging and so on, has made deep learning the buzz word that dominates Artifici...

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Bibliographic Details
Published in:	Journal of ambient intelligence and humanized computing Vol. 14; no. 7; pp. 9677 - 9750
Main Authors:	Musa, Nehemiah, Gital, Abdulsalam Ya’u, Aljojo, Nahla, Chiroma, Haruna, Adewole, Kayode S., Mojeed, Hammed A., Faruk, Nasir, Abdulkarim, Abubakar, Emmanuel, Ifada, Folawiyo, Yusuf Y., Ogunmodede, James A., Oloyede, Abdukareem A., Olawoyin, Lukman A., Sikiru, Ismaeel A., Katb, Ibrahim
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Big Data Biometrics Computational Intelligence Computer vision Data analysis Deep learning Electrocardiography Engineering Health care Heart Image processing Literature reviews Machine learning Medical imaging Neural networks Object recognition Original Research Popularity Robotics and Automation Signal processing Speech recognition Systematic review Systems analysis Taxonomy Trends User Interfaces and Human Computer Interaction Deep learning Driving Biometric Electrocardiogram System Electrocardiogram Machine learning
ISSN:	1868-5137, 1868-5145
Online Access:	Get full text
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