Research on Cardiac Health Detection Sensors Based on CYTOP Fiber Bragg Grating

Sun, 01 Jun 2025 00:00:00 +0000

Overview

This thesis, authored by Hu Yuchi at the Cyprus University of Technology, investigates the development and application of cardiac health detection sensors utilizing CYTOP-based fiber Bragg grating (FBG) technology. The work is situated at the intersection of optical engineering, biomedical sensing, and materials science, focusing on the unique properties of CYTOP polymer optical fibers and their integration into FBG-based sensor systems. The study addresses the growing demand for non-invasive, highly sensitive, and reliable cardiac monitoring solutions, leveraging the advantages of polymer fiber Bragg gratings over traditional silica-based counterparts.

Key Contributions

Design and Fabrication of CYTOP FBG Sensors: The thesis details the process of inscribing Bragg gratings into CYTOP polymer optical fibers, highlighting the material’s favorable mechanical flexibility, biocompatibility, and sensitivity to physical parameters such as strain and pressure. The work explores the challenges and solutions associated with grating inscription in polymer fibers, which differ significantly from conventional silica fibers due to their lower Young’s modulus and different photosensitivity characteristics.
Sensor Characterization and Performance Analysis: Comprehensive experimental studies are conducted to evaluate the response of CYTOP FBG sensors to cardiac-related physiological signals. The thesis presents data on the sensors’ sensitivity to strain, pressure, and temperature, with particular emphasis on their application in detecting pulse waves and other cardiac health indicators. The performance of these sensors is benchmarked against existing technologies, demonstrating enhanced sensitivity and flexibility, which are critical for wearable and implantable medical devices.
System Integration and Application in Cardiac Monitoring: The research includes the integration of CYTOP FBG sensors into prototype cardiac monitoring systems. It discusses signal processing techniques for extracting meaningful cardiac health metrics from the sensor data, addressing issues such as noise reduction, temperature compensation, and real-time monitoring. The thesis also explores the potential for multi-parameter sensing, leveraging the multiplexing capabilities of FBG technology to simultaneously monitor various physiological parameters.

Impact and Relevance

The findings of this thesis have significant implications for the field of biomedical sensing and health monitoring. By demonstrating the feasibility and advantages of CYTOP-based FBG sensors for cardiac health detection, the work paves the way for the development of next-generation wearable and implantable medical devices. These sensors offer improved patient comfort, higher sensitivity, and the potential for continuous, real-time monitoring of vital signs. The research contributes to the broader adoption of polymer optical fiber technologies in healthcare, addressing key challenges in sensor fabrication, integration, and data interpretation. Ultimately, this work supports the advancement of personalized medicine and preventive healthcare by enabling more accurate and accessible cardiac monitoring solutions.

Research on MEMS Accelerometers Based on Silicon Nanowire Arrays

Sun, 01 Jun 2025 00:00:00 +0000

Overview

This master’s thesis investigates the development and performance of MEMS (Micro-Electro-Mechanical Systems) accelerometers that utilize silicon nanowire arrays as their core sensing elements. The research is situated within the broader context of sensor miniaturization and enhanced sensitivity, which are critical for modern applications in consumer electronics, automotive systems, and industrial monitoring. The work is conducted at the Cyprus University of Technology, under the supervision of Professor Kyriacos Kalli, and represents a comprehensive study into the integration of nanostructured materials with MEMS technology.

Key Contributions

The thesis presents a detailed analysis of the design, fabrication, and characterization of MEMS accelerometers based on silicon nanowire arrays. These nanowires serve as the primary transduction mechanism, offering improved mechanical and electrical properties compared to conventional bulk materials.
It explores the unique advantages of silicon nanowires, such as their high surface-to-volume ratio and tunable electrical characteristics, which contribute to increased sensitivity and lower detection thresholds for acceleration signals.
The research includes experimental results and simulations that demonstrate the performance enhancements achieved by incorporating nanowire arrays into MEMS accelerometer structures. This includes data on sensitivity, frequency response, and noise characteristics, benchmarked against traditional MEMS accelerometers.
The thesis also addresses fabrication challenges, proposing solutions for reliable integration of nanowire arrays with standard MEMS processes, ensuring compatibility with existing manufacturing infrastructure.

Impact and Relevance

The findings of this thesis have significant implications for the future of sensor technology. By leveraging silicon nanowire arrays, the research contributes to the ongoing trend of miniaturization in MEMS devices, enabling the development of smaller, more sensitive, and energy-efficient accelerometers. These advancements are particularly relevant for emerging applications in wearable devices, IoT (Internet of Things) sensors, and precision instrumentation, where size, power consumption, and sensitivity are paramount.

Moreover, the work provides a foundation for further research into nanostructured materials within MEMS, potentially extending to other types of sensors and transducers. The demonstrated improvements in performance and manufacturability suggest that silicon nanowire-based MEMS accelerometers could become a new standard in high-performance sensing, influencing both academic research and industrial product development.

sensors | MSc in Electronics and Technology

Research on Cardiac Health Detection Sensors Based on CYTOP Fiber Bragg Grating

Overview

Key Contributions

Impact and Relevance

Research on MEMS Accelerometers Based on Silicon Nanowire Arrays

Overview

Key Contributions

Impact and Relevance