Development of an integrated conductive electrode system for real-time physiological parameters monitoring

Abstract

The development of an Integrated Conductive Electrode System (ICES) offers a transformative approach to real-time physiological parameter monitoring, addressing the demand for non-invasive, accurate, and accessible healthcare solutions. Designed to measure electrocardiography (ECG), Heart rate, Oxygen level (SpO2), Blood pressure, and Body temperature. The system integrates conductive textile electrodes within wearable fabrics, ensuring user comfort and continuous signal acquisition. Advanced signal processing techniques effectively reduce motion artifacts, enhancing data reliability even during movement. Real-time data transmission to a mobile application facilitates continuous monitoring, making the system ideal for home healthcare, athletic performance assessment, and chronic disease management. The incorporation of reusable conductive textiles promotes sustainability, while an optimized power management system ensures prolonged usability. Comprehensive simulations and functional verifications validate the system’s high accuracy and adaptability across various conditions. By bridging the gap between clinical diagnostics and real-world monitoring, this work advances wearable health technology with a scalable, practical solution. Future research will focus on material compatibility, data security, and regulatory compliance to support widespread adoption. The findings align with global initiatives to develop cost-effective, technology-driven, and sustainable healthcare solutions.

Description

Cataloged from PDF version of final year design project.
Includes bibliographical references (pages 69-72).
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering and Electronic and Communication Engineering, 2025.

Keywords

Physiological monitoring, Conductive electrodes, Wearable health technology, Remote healthcare, Biomedical sensors, Signal processing, Non-invasive monitoring, Smart textiles, Real-time data feedback, Sustainability

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