An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation

被引:21
作者
Cay, Gozde [1 ]
Ravichandran, Vignesh [1 ]
Saikia, Manob Jyoti [1 ,5 ]
Hoffman, Laurie [3 ]
Laptook, Abbot [3 ]
Padbury, James [3 ]
Salisbury, Amy L. [3 ,4 ]
Gitelson-Kahn, Anna [6 ]
Venkatasubramanian, Krishna [2 ]
Shahriari, Yalda [1 ]
Mankodiya, Kunal [1 ]
机构
[1] Univ Rhode Isl, Dept Elect Comp & Biomed Engn, Kingston, RI 02881 USA
[2] Univ Rhode Isl, Dept Comp Sci & Stat, Kingston, RI 02881 USA
[3] Women & Infants Hosp Rhode Isl, Pediat, Providence, RI USA
[4] Virginia Commonwealth Univ, Sch Nursing, Richmond, VA USA
[5] Tufts Univ, Ctr Appl Brain & Cognit Sci, Medford, MA 02155 USA
[6] Rhode Isl Sch Design, Dept Text, Providence, RI 02903 USA
来源
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY | 2022年 / 94卷 / 06期
关键词
Respiration monitoring; E-textiles; Textile pressure sensors; NICU; Baby monitoring; MEDICAL ADHESIVES; SKIN; SAFETY; SENSOR;
D O I
10.1007/s11265-021-01669-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:543 / 557
页数:15
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