International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Reliable Patient Monitoring System |
|---|---|
| ABSTRACT | In the post–COVID-19 era, the perception of healthcare has significantly evolved, reinforcing the belief that health is the true wealth. The pandemic exposed critical challenges in conventional healthcare systems and increased public awareness regarding continuous health monitoring and preventive care. As health-related issues have become a major global concern, there is a growing need for reliable and intelligent patient monitoring solutions. This project presents a Reliable Patient Monitoring System designed to continuously monitor vital physiological parameters and enable early detection of abnormal health conditions. The system aims to improve patient safety by providing timely alerts, reducing response time in emergencies, and supporting effective clinical decision-making. By integrating advanced machine learning techniques, the proposed system ensures accuracy, reliability, and adaptability, making it suitable for remote healthcare, chronic disease management, and elderly patient care. |
| AUTHOR | NITHYASHREE S, AJAY KUMAR N, AKBAR M S, HITESH GOWDA M Assistant Professor, Department of ECE, Dr. Ambedkar Institute of Technology, Bengaluru, India Students, Department of ECE, Dr. Ambedkar Institute of Technology, Bengaluru, India |
| VOLUME | 177 |
| DOI | 10.15680/IJIRCCE.2025.1312074 |
| pdf/74_Reliable Patient Monitoring System.pdf | |
| KEYWORDS | |
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