Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Self-Powered Breath Monitoring Using Electrospun Biodegradable and Biocompatible Textile Sensors

Karnasooriya Ragalage, Sanjaya Dinuwan Gunawardhana orcid logoORCID: 0000-0002-3793-0688, Quadeer, Hamza, McGuinness, Garrett orcid logoORCID: 0000-0002-1023-8667, Ward, Tomás E. orcid logoORCID: 0000-0002-6173-6607 and Coyle, Shirley orcid logoORCID: 0000-0003-0493-8963 (2024) Self-Powered Breath Monitoring Using Electrospun Biodegradable and Biocompatible Textile Sensors. In: 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), 15-17 October 2024, Chicago, IL, USA. ISBN 979-8-3315-3014-3

Abstract
This paper presents the development of self-powered breath monitoring sensors using triboelectric nanogenerators (TENGs) technique fabricated from electro spun polycaprolactone (PCL) and cellulose acetate (CA) fibers. The CA was chemically modified with 0.2M NaOH, achieving a maximum open-circuit voltage (Voc) of 14.3 V, short-circuit current (Isc) of 1.67μA and charge (Qsc) of 6.61 nC. Incorporating 3 % chitosan into PCL further enhanced the sensor's performance, yielding a Voc of 20.8 V, Isc of 3.178 µA, and Qsc of 9.9 nC. The sensor demonstrated excellent sensitivity, with a linear response and a sensitivity of 2.209 V/kPa across a pressure range of 0.625-12.5 kPa. It also exhibited rapid response times of 34–36 ms and recovery times of 24–26 ms. The optimized materials and sensor configuration show promise for continuous real-time breath monitoring. This innovation provides a significant advancement in wearable health monitoring systems, enabling early detection of respiratory illnesses and chronic disease management.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Computer engineering
Computer Science > Computer networks
Computer Science > Computer software
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Publisher:IEEE
Official URL:https://ieeexplore.ieee.org/abstract/document/1078...
Copyright Information:Authors
Funders:Insight SFI Centre for Data Analytics ( SFI/12/RC/2289_P2)
ID Code:30918
Deposited On:30 Jul 2025 07:46 by Sanjaya Dinuwan gunawardhana Karnasooriya Ragalage . Last Modified 30 Jul 2025 07:46
Documents

Full text available as:

[thumbnail of 2024305154.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution 4.0
3MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record