GFCI IDENTIFICATION OF CARDIOVASCULAR PICTURE
Abstract & Details
Research Area
master of computer application
Keywords
machine learning
deep learning
medical science
datasets
mobile network architecture.
Abstract
Cardiovascular diseases (CVDs) are a leading cause of morbidity and mortality worldwide. The accurate identification and diagnosis of CVDs is crucial for effective management and treatment. In this research paper, we propose a novel approach for the identification of cardiovascular pictures using ground fault circuit interrupter (GFCI) technology.
The GFCI identification of cardiovascular pictures involves the analysis of electrical signals derived from the cardiovascular system. We utilize advanced signal processing techniques to extract relevant features from the electrical signals obtained through non-invasive measurements. These features are then fed into a machine learning algorithm, specifically trained for cardiovascular picture identification, to classify and identify different cardiovascular conditions.
License
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | NITHIN D B | AMC ENGINEERING COLLEGE |
| 2 | DR.M.S SHASHIDHAR | AMC ENGINEERING COLLEGE |
How to Cite
Use the following formats to cite this article in your research.
APA Style
B, NITHIN D & SHASHIDHAR, DR.M.S (2023). GFCI IDENTIFICATION OF CARDIOVASCULAR PICTURE. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 1248-1254.
MLA Style
B, NITHIN D, and DR.M.S SHASHIDHAR. "GFCI IDENTIFICATION OF CARDIOVASCULAR PICTURE." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 1248-1254.
IEEE Style
NITHIN D B and DR.M.S SHASHIDHAR, "GFCI IDENTIFICATION OF CARDIOVASCULAR PICTURE," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 1248-1254, 2023.
Vancouver Style
B NITHIN D, SHASHIDHAR DR.M.S. GFCI IDENTIFICATION OF CARDIOVASCULAR PICTURE. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):1248-1254.
Harvard Style
B, NITHIN D & SHASHIDHAR, DR.M.S (2023) 'GFCI IDENTIFICATION OF CARDIOVASCULAR PICTURE', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 1248-1254.
Chicago Style
B, NITHIN D and DR.M.S SHASHIDHAR. "GFCI IDENTIFICATION OF CARDIOVASCULAR PICTURE." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1248-1254.
Turabian Style
B, NITHIN D and DR.M.S SHASHIDHAR. "GFCI IDENTIFICATION OF CARDIOVASCULAR PICTURE." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1248-1254.
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