Karnasooriya Ragalage, Sanjaya Dinuwan Gunawardhana
ORCID: 0000-0002-3793-0688, Quadeer, Hamza, McGuinness, Garrett
ORCID: 0000-0002-1023-8667, Ward, Tomás E.
ORCID: 0000-0002-6173-6607 and Coyle, Shirley
ORCID: 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 |
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