STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Polymer & Composites Original Research Special issue

IoT-Enabled Flexible Polymer Sensors for On-Body Health Monitoring and Real-Time Data Transmission

  1. Pankaj Mudholkar Faculty of Computer Applications, Marwadi University, Rajkot - 360003
  2. Megha Mudholkar Department of Computer Engineering, Marwadi University, Rajkot
  3. Janardhan G Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Hyderabad
  4. N. Linga Reddy Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Hyderabad
  5. Guguloth Ravi Department of Computer Science and Engineering, Malla Reddy College of Engineering and Technology, Hyderabad
  6. V. Akilandeswari Department of Computer Science and Engineering, Velammal College of Engineering and Technology, Madurai

Abstract

Wearable health monitoring systems have grown increasingly vital in shifting care beyond clinical settings, yet many existing technologies remain hamstrung by rigid substrates and unreliable data streaming, impeding continuous and comfortable physiological assessment. Despite advances in flexible materials, most current sensor platforms suffer from limited mechanical endurance, signal instability under dynamic conditions, or an inability to sustain real-time wireless transmission. This work addresses those deficiencies by introducing a fully integrated, system-on-polymer sensor architecture engineered for robust, on-body health tracking. The proposed platform leverages a hybrid nanocomposite (CNT and polypyrrole in polyurethane) fabricated through scalable screen-printing, with embedded silver nanoparticle interconnects and a miniaturized BLE module directly mounted to the stretchable substrate. A tailored data pipeline incorporates adaptive sampling and on-device filtering, delivering continuous, artifact-resistant physiological signals to a mobile application interface. Experimental validation confirmed that the device maintained linear electromechanical response (gauge factor 9.4) through 10,000 strain cycles and held resistance drift below 5% across the full range of physiological temperatures. Real-time BLE data streaming exhibited low transmission latency (average 114 ms) and negligible packet loss (<1.2%), enabling uninterrupted operation over 36 hours. Comparative analysis revealed clear advantages in endurance and wireless stability relative to recent benchmarks. By coupling durable materials innovation with intelligent wireless design, this platform paves the way for next-generation wearable monitoring—capable of supporting decentralized, data-driven healthcare and expanding the boundaries of remote physiological assessment.

Keywords

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