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An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation
- Source :
- Journal of Signal Processing Systems
- Publication Year :
- 2021
- Publisher :
- Springer US, 2021.
-
Abstract
- The world is witnessing a rising number of preterm infants who are at significant risk of medical conditions. These infants require continuous care in Neonatal Intensive Care Units (NICU). Medical parameters are continuously monitored in premature infants in the NICU using a set of wired, sticky electrodes attached to the body. Medical adhesives used on the electrodes can be harmful to the baby, causing skin injuries, discomfort, and irritation. In addition, respiration rate (RR) monitoring in the NICU faces challenges of accuracy and clinical quality because RR is extracted from electrocardiogram (ECG). This research paper presents a design and validation of a smart textile pressure sensor system that addresses the existing challenges of medical monitoring in NICU. We designed two e-textile, piezoresistive pressure sensors made of Velostat for noninvasive RR monitoring; one was hand-stitched on a mattress topper material, and the other was embroidered on a denim fabric using an industrial embroidery machine. We developed a data acquisition system for validation experiments conducted on a high-fidelity, programmable NICU baby mannequin. We designed a signal processing pipeline to convert raw time-series signals into parameters including RR, rise and fall time, and comparison metrics. The results of the experiments showed that the relative accuracies of hand-stitched sensors were 98.68 (top sensor) and 98.07 (bottom sensor), while the accuracies of embroidered sensors were 99.37 (left sensor) and 99.39 (right sensor) for the 60 BrPM test case. The presented prototype system shows promising results and demands more research on textile design, human factors, and human experimentation.
- Subjects :
- NICU
E-textiles
Computer science
Real-time computing
Baby monitoring
Pressure sensor
Article
Theoretical Computer Science
Textile pressure sensors
Respiration monitoring
Data acquisition
Hardware and Architecture
Control and Systems Engineering
Modeling and Simulation
Intensive care
Signal Processing
Clinical quality
Significant risk
Sensing system
Piezoresistive pressure sensors
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 19398115 and 19398018
- Database :
- OpenAIRE
- Journal :
- Journal of Signal Processing Systems
- Accession number :
- edsair.doi.dedup.....c828a191f1b29c1671f4e47235f4b363