Energy-Efficient AI-Powered Health Sensing and Monitoring Systems
The proposed work focuses on the design and development of Energy-Efficient AI-Powered Health Sensing and Monitoring Systems for next-generation smart healthcare applications. Rapid advancements in wearable electronics, Internet of Things (IoT), artificial intelligence (AI), and biomedical sensing technologies have enabled continuous and remote monitoring of human health conditions. However, existing healthcare monitoring systems often suffer from high power consumption, limited battery life, computational complexity, and inefficient real-time data processing.
This proposed system aims to address these challenges by integrating low-power biomedical sensors, edge-AI techniques, and intelligent communication frameworks to achieve accurate, reliable, and energy-efficient health monitoring. The system will continuously collect physiological signals such as ECG, heart rate, blood oxygen saturation (SpO₂), body temperature, respiration rate, and physical activity parameters through wearable or portable sensing devices.
Artificial intelligence and machine learning algorithms will be incorporated for intelligent analysis, anomaly detection, health prediction, and personalized healthcare recommendations. Edge computing approaches will be utilized to process data locally, thereby reducing latency, communication overhead, and cloud dependency while significantly improving energy efficiency.
The proposed framework also emphasizes secure wireless communication and cloud-assisted healthcare analytics for remote patient monitoring and telemedicine applications. The developed system can support healthcare services in hospitals, homes, rural healthcare centers, elderly care environments, and emergency medical situations.
The outcomes of the proposed work are expected to contribute toward sustainable, affordable, and scalable smart healthcare technologies with enhanced reliability, prolonged operational lifetime, and improved healthcare accessibility. The work aligns with emerging global research trends and national initiatives in Digital Health, Artificial Intelligence, Smart Healthcare, and IoT-enabled medical systems.
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- Vignan's Institute of Information Technology,Beside VSEZ,Vadlapudi,Duvvada
- Visakhapatnam , Andhra Pradesh
- India 530049
- Building: Block-D
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Dr. M. S. Manikandan of IIT Palakkad
Energy-Efficient AI-Powered Health Sensing and Monitoring Systems
Dr. M. S. Manikandan is a Senior Member of IEEE and Associate Professor in the Electrical Engineering Department at IIT Palakkad, Kerala, India. He previously served at IIT Bhubaneswar, Amrita Vishwa Vidyapeetham University, and Samsung India Electronics Pvt. Ltd. His research focuses on non-invasive health monitoring devices, AI-based medical systems, system-on-chip, climate-aware disease prediction, and biomedical signal processing. He has published more than 150 research papers and received multiple national and international awards for his contributions to healthcare technology and engineering research.
Biography:
Dr. M. S. Manikandan is a Senior Member of IEEE and currently serves as an Associate Professor in the Department of Electrical Engineering at Indian Institute of Technology Palakkad. He has previously worked as an Assistant Professor at Indian Institute of Technology Bhubaneswar and Amrita Vishwa Vidyapeetham. Before entering academia, he served as Chief Engineer at Samsung India Electronics Pvt. Ltd., Noida.
Dr. Manikandan has published more than 150 research papers in reputed journals and international conferences. His major research areas include biomedical signal processing, non-invasive health monitoring systems, artificial intelligence in healthcare, system-on-chip design, climate-aware disease prediction, drone detection, and energy-efficient medical devices.
He has received several prestigious recognitions, including being listed among the World’s Top 2% Scientists, the DAAD Bilateral Exchange of Academics Scholarship 2024, the Best Technology Award 2025 at IIT Indore, and multiple international research paper awards in biomedical engineering and healthcare technology. He has also delivered over 100 technical talks at national and international workshops and conferences.
Dr. Manikandan has contributed actively to IEEE technical committees and served in leadership roles related to research, innovation, and entrepreneurship. He continues to work on developing trustworthy and energy-efficient healthcare technologies with improved diagnostic accuracy for real-world medical applications.
Address:Department of Electrical Engineering, IIT Palakkad, , Palakkad, India, 678557