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Design of an Integrated Wearable Multi-Sensor Platform Based on Flexible Materials for Neonatal Monitoring

Authors :
Hongyu Chen
Shenjie Bao
Chunmei Lu
Laishuan Wang
Jianhua Ma
Peng Wang
Hongbin Lu
Feng Shu
Sidarto Bambang Oetomo
Wei Chen
Source :
IEEE Access, Vol 8, Pp 23732-23747 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

For infants admitted at neonatal intensive care unit, the continuous monitoring of health parameters is critical for their optimal treatment and outcomes. So it's crucial to provide proper treatment, accurate and comfortable monitoring conditions for newborn infants. In this paper, we propose wearable sensor systems integrated with flexible material based non-invasive sensors for neonatal monitoring. The system aims at providing reliable vital signs monitoring as well as comfortable clinical environments for neonatal care. The system consists of a smart vest and a cloud platform. In the smart vest, a novel stretching sensor based on Polydimethylsiloxane-Graphene (PDMS-Graphene) compound is created to detect newborns' respiration signal; textile-based dry electrodes are developed to measure Electrocardiograph (ECG) signals; inertial measurement units (IMUs) are embedded to obtain movement information including accelerated speed and angular velocity of newborn wrists. Experiments were conducted to systematically test the sensing related characteristics of the aforementioned flexible materials and the performance of the proposed multi-sensor platform. The results show that the proposed system can achieve high quality signals. The wearable sensor platform is promising for continuous long term monitoring of neonates. The multi-modal physiological and behavioral signals measured by the platform can be further processed for clinical decision support on the neonatal health status.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.0ee56307fafc4378a146cdcc5b5c0774
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.2970469