Smart MEMS Sensors with Artificial Intelligence for Continuous Healthcare and Environmental Quality Monitoring | IJCT Volume 2 – Issue 1| IJCT-V2I1P27
International Journal of Computer Techniques
ISSN 2394-2231
Author
Mr. Kaustubh Kumar Shukla, Dr. Rashi Agarwal
Abstract
The integration of Micro-Electro-Mechanical Systems (MEMS) and Artificial Intelligence (AI) has ushered in a new era in healthcare and environmental monitoring. MEMS devices enable miniaturized, low-cost, and high-sensitivity sensing, while AI provides powerful data analytics and decision-making capabilities. This paper reviews the evolution and synergy of MEMS and AI applications in healthcare and environmental domains, identifies key research gaps, and proposes a framework for robust, real-time, and scalable monitoring systems. Our methodology leverages multi-modal MEMS sensors, AI-driven data fusion, and secure communication protocols. Results from existing literature and prototype implementations demonstrate improved accuracy and efficiency in disease detection, patient monitoring, and pollutant surveillance. We discuss current challenges, including sensor calibration, data privacy, and interpretability of AI models. The paper concludes with future directions for MEMS-AI systems, emphasizing the potential for personalized medicine, smart cities, and sustainable environmental stewardship.
Keywords
MEMS, Artificial Intelligence, Healthcare, Environmental Monitoring, Data Fusion, Sensor Networks, Wearable Devices, Disease Detection, Air Quality, Smart Sensors, IoT, Machine Learning, Biomedical Sensors, Miniaturization, Wireless Sensor Networks.
Conclusion
MEMS and AI technologies, when effectively integrated, have the potential to revolutionize both healthcare and environmental monitoring. Our review and prototype studies demonstrate improved detection accuracy, system efficiency, and user trust. The proposed framework, emphasizing multi-modal sensing, edge-cloud AI integration, and interpretability, addresses key research gaps. Ongoing challenges include advancing edge intelligence, ensuring data privacy, and maintaining long-term sensor accuracy.
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How to Cite This Paper
Mr. Kaustubh Kumar Shukla, Dr. Rashi Agarwal (2015). Smart MEMS Sensors with Artificial Intelligence for Continuous Healthcare and Environmental Quality Monitoring. International Journal of Computer Techniques, 12(6). ISSN: 2394-2231.
