Paper Title
CARDIAC ARRHYTHMIA MONITORING SYSTEM THROUGH OPTIMIZED REGRESSIONS
Article Identifiers
: Authors
Keywords
Health care, Internet of things, Health care monitoring, Pulmonary diseases, Machine learning.
Abstract
Cardiac diseases are one of the disorders occurring in the heart and blood vessels due to various reasons. The coronary hard diseases directly impact the blood vessels and restrict blood pumping frequency that follows the blood vessel pumping towards the brain also. Frequent occurrences of cardiac health diseases directly impact the regular activities of the brain and muscles to interrupt the regular functionality. The proposed system considers the critical factor called blood vessel detection and coronary heart disease detection using blood clots present in the veins. The proposed system considers the heart disease data set collected from MIT BIH physionet website where the data consists of various heart diseases such as ventricular cardiac arrhythmia even more. In which the cardiac abnormal condition is detected based on the symptoms(SACHA). An optimized multi nominal regression (OMNLR) is implemented to detect the free contacts of normality in the heart data set. From the optimized multinomial Logistic regression and compared with various data for approaches.
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How To Cite (APA)
G.JAYAGOPI & C.B.SUMATHI (April-2025). CARDIAC ARRHYTHMIA MONITORING SYSTEM THROUGH OPTIMIZED REGRESSIONS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(4), g244-g251. https://ijnrd.org/papers/IJNRD2504626.pdf
Issue
Volume 10 Issue 4, April-2025
Pages : g244-g251
Other Publication Details
Paper Reg. ID: IJNRD_306300
Published Paper Id: IJNRD2504626
Downloads: 000121989
Research Area: Science and Technology
Author Type: Indian Author
Country: Tirupattur District, TamilNadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2504626.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2504626
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