Soft Pressure Sensors - Integrated Into Compression Pressure Monitoring on Cardiopulmonary Resuscitation Device

Các tác giả

Email tác giả liên hệ:

cuongvc@hcmute.edu.vn

DOI:

https://doi.org/10.54644/jte.2025.1830

Từ khóa:

Force sensing resistor, Graphene ink, Conductive fabric, CPR device, e-Healthcare

Tóm tắt

After more than a century of research and development, advancements in nanomaterials have led to significant breakthroughs, fostering innovation across various technological domains. Among these materials, graphene stands out as a pivotal advancement. The introduction of graphene has marked a transformative moment in the nanomaterials sector. Its unique properties and versatility have proven essential across various applications, including sensor fabrication and biomedical engineering. In this study, our research team utilized graphene-based conductive ink to fabricate force-sensing resistors (FSRs), capitalizing on graphene's exceptional conductivity and adaptability. FSRs have garnered considerable interest from researchers due to their flexibility, cost-effectiveness, and favorable surface compatibility, making them ideal for wearable devices, health monitoring systems, and industrial applications. The sensors developed in this study demonstrated a high sensitivity to forces below 20N, with a sensitivity coefficient of approximately 0.9958N⁻¹. Additionally, they can withstand forces exceeding 100N, all while being only 1.01mm thick. This makes them suitable for a wide range of applications that require both high and low force measurements. The entirely manual fabrication process facilitates the customization of sensor properties to fulfill specific application demands. The sensor has been successfully integrated into CPR assistive devices for the measurement of applied force intensity and detection of force application location.

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Tiểu sử của Tác giả

Minh Ky Tran, Ho Chi Minh City University of Technology and Education, Vietnam

Minh Ky Tran is currently pursuing an Engineer’s degree in Biomedical Engineering at Ho Chi Minh City University of Technology and Education, Vietnam. He commenced his studies in 2021 and expected to graduate at the end of 2025. His research is concentrated on the development of flexible sensors for applications in the IoT and healthcare sectors.

Email: 21129080@student.hcmute.edu.vn. ORCID:  https://orcid.org/0009-0006-6613-4185

Thi Tuyet Nga Ly, Ho Chi Minh City University of Technology and Education, Vietnam

Thi Tuyet Nga Ly is currently pursuing an Engineer’s degree in Biomedical Engineering at Ho Chi Minh City University of Technology and Education, Vietnam. She commenced her studies in 2021 and expected to graduate at the end of 2025. Her research is concentrated on the development of flexible sensors for applications in the IoT and healthcare sectors.

Email: 21129024@student.hcmute.edu.vn. ORCID:  https://orcid.org/0009-0006-1850-7303

Bao Hy Nguyen, Ho Chi Minh City University of Technology and Education, Vietnam

Bao Hy Nguyen is currently pursuing an Engineer’s degree in Biomedical Engineering at Ho Chi Minh City University of Technology and Education, Vietnam. She commenced her studies in 2021 and expected to graduate at the end of 2025. Her research is concentrated on the development of flexible sensors for applications in the IoT and healthcare sectors.

Email: 21129013@student.hcmute.edu.vn. ORCID:  https://orcid.org/0009-0008-0656-7098

Chi Cuong Vu, Ho Chi Minh City University of Technology and Education, Vietnam

Chi Cuong Vu received his B.S. in Electronics & Telecommunication in 2014 at HCMC University of Technical and Education, Ho Chi Minh City, Vietnam. He finished M.S. and Ph.D. programs in Organic materials and fiber engineering at Soongsil University, Seoul, South Korea, in 2021. After graduation, he worked as a lecturer and researcher in the Department of Smart Wearables, R&D Center, Soongsil University, in 2022. He is currently a lecturer in the Faculty of Electrical and Electronics at Ho Chi Minh City University of Technology and Education, Viet Nam. His research interest includes flexible wearable sensors and their applications in human activity monitoring or personal healthcare based on machine learning algorithms.

Email: cuongvc@hcmute.edu.vn. ORCID:  https://orcid.org/0000-0002-7158-8441

Tài liệu tham khảo

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Tải xuống

Đã Xuất bản

2025-11-28

Cách trích dẫn

[1]
M. K. Tran, T. T. N. Ly, B. H. Nguyen, và C. C. Vu, “Soft Pressure Sensors - Integrated Into Compression Pressure Monitoring on Cardiopulmonary Resuscitation Device”, JTE, vol 20, số p.h 04SI, tr 64–73, tháng 11 2025.

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