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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21508
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
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| Paper Title: | Heart Beat Classification Using Deep Learning |
| Authors Name: | J. Venkateshwar Reddy , S. Krishna Anand , K. Navya Srija , B. Renu Krushiya |
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IJRTI_186086
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| Published Paper Id: | IJRTI2304131 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Cardiovascular diseases (CVDs) affecting millions of people around the world. Classification of heartbeat is very important step to determine cardiac functionality. An electrocardiogram (ECG), (a graphical representation of heart signals) is used to measure the electric signals of the heart and is widely used for detecting any abnormality lies within. By analyzing and studying the electric signals generated from ECG with the help of electrodes, it is possible to detect some of the problems in heart. There are many types of classifiers available for Heartbeat classification by discussing pre-processing, Electrocardiogram dataset, feature extraction and types of classifiers available for automatic heartbeat classification. This Project proposes a Convolutional Neural Network (CNN) architecture to classify heartbeat from the image sequences collected from MIT_BIH dataset. The depth of the CNN architecture and the development of the CNN architecture are critical aspects to emphasis, Since they affect the architecture of neural networks’ recognition capability. |
| Keywords: | Cardiovascular diseases, Electrocardiogram (ECG), Heartbeat classification, Pre-processing, Feature extraction, Convolution al Neural Network (CNN), MIT-BIH dataset, Recognition capability. |
| Cite Article: | "Heart Beat Classification Using Deep Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.786 - 794, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304131.pdf |
| Downloads: | 000205203 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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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Published Paper ID: IJRTI2304131
Registration ID:186086
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 786 - 794 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304131 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304131 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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