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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) |
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| Paper Title: | Analysis of ECG signals using Machine Learning techniques |
| Authors Name: | B.Kundana , B.Meghana , S.Upasana , S.Vaishnavi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_194179
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| Published Paper Id: | IJNRD2305551 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | ECG examinations can be used to diagnose a patient's disorders and pathological states in addition to cardiovascular diseases. Preoperative/postoperative evaluation, drug efficacy evaluation, side effect identification, and health diagnosis are just a few of the many uses of ECG data in the medical or surgical system. As a result, this is an active field of study. This research uses machine learning models to classify ECG diseases. A machine learning approach called an SVM model is used to recognise and categorise the various heart ailments. The dataset includes 3 distinct disease classes: congestive heart failure (CHF), normal sinus rhythm (NSR), and cardiac arrhythmia (ARR). The model's performance is evaluated using the performance parameters Accuracy, Precision, Recall, and F1-score. |
| Keywords: | ECG,Dataset,Congestive Heart Failure, Normal Sinus Rythm, Cardiac Arrhythmia |
| Cite Article: | "Analysis of ECG signals using Machine Learning techniques", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.f291-f293, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305551.pdf |
| Downloads: | 000118750 |
| 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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Published Paper ID:IJNRD2305551 Registration ID: 194179 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: f291-f293 Country: Jogulamba Gadwal, Telangana, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305551 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305551 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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