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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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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24205
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
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| Paper Title: | DESIGN AND IMPLEMENTATION OF A LIVE HEART BLOCKAGE PREDICTION DEVICE USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING |
| Authors Name: | Urjita Barapatre , Anurag Kaware , Anjali Tekade , Mrunali Badwaik , Prof. Shubham Kanojiya |
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IJRTI_212113
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| Published Paper Id: | IJRTI2604320 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | The project titled “Live Heart Blockage Prediction Device Using AI/ML” focuses on developing a real-time, intelligent system for early detection of heart-related risks. The system acquires ECG signals from the human body using electrodes and an AD8232 ECG sensor, which are processed by an ESP32 microcontroller and transmitted for analysis. The collected data is preprocessed, filtered, and subjected to feature extraction and anomaly detection to identify abnormal heart patterns. Machine learning algorithms such as Random Forest, Support Vector Machine, and Neural Networks are used to accurately predict the risk of heart blockage. The results are displayed in real-time on a monitoring interface, enabling continuous tracking of heart activity. This system provides a cost-effective, portable, and efficient solution that supports early diagnosis and assists healthcare professionals in making informed decisions, thereby improving patient outcomes. |
| Keywords: | ECG, Heart Blockage Prediction, Artificial Intelligence, Machine Learning, ESP32, Support Vector Machine, Neural Networks, AD8232 ECG sensor. |
| Cite Article: | "DESIGN AND IMPLEMENTATION OF A LIVE HEART BLOCKAGE PREDICTION DEVICE USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c370-c377, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604320.pdf |
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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: IJRTI2604320
Registration ID:212113
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c370-c377 Country: Nagpur, Maharashtra, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604320 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604320 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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