Patient Monitoring Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Patient Monitoring ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Patient Monitoring Projects
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Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing
This project focuses on improving how chronic wounds are assessed and treated. The researchers used computer algorithms to analyze wound images and predict how well a wound will heal. Their models were more accurate than traditional manual tools and worked well for different types of patients and wounds. This could help doctors make faster and more reliable treatment decisions. -
Smart Patient Monitoring and Recommendation (SPMR) Using Cloud Analytics and Deep Learning
This project presents a smart system to monitor patients with chronic and lifestyle-related health issues. It collects real-time data from wearable and home devices to track vital signs and daily activities. Using deep learning, it predicts health problems and gives preventive advice, even without Internet access. Tests show it is more accurate and effective than similar systems, especially in emergencies. -
Human Activity Recognition Based on Wireless Electrocardiogram and Inertial Sensors
This project uses wearable sensors to monitor a person’s heart activity and body movements. It applies deep learning to identify what activity a person is doing, such as running, sitting, or climbing stairs. The system achieved very high accuracy, showing that combining heart signals and motion data gives better results. It helps in tracking health and daily activity remotely with precision.
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