INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The electrocardiogram (ECG) is an important part of the routine medical examination to evaluate for heart arrhythmias. In this process, we present a deep learning-based convolutional neural network framework, previously learned from general information and transferred to automatic ECG rhythm, by classifying patient ECGs according to cardiac conditions. The main purpose of this method is to use a simple, powerful and easy-to-use deep learning technique to classify the two different disease types selected. The results show that cascading deep learning with neural backpropagation networks can be very productive.
Keywords:
ECG, Signal, deep learning, Cardiovascular, Healthcare system
Cite Article:
"Data Integrity and Security in Cardiovascular Healthcare System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e386-e389, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304452.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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