An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation.
An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation.
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DOI：
10.1007/s11265-021-01669-9
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Mankodiya K
中科院分区：
文献类型：
--
作者：
Cay G;Ravichandran V;Saikia MJ;Hoffman L;Laptook A;Padbury J;Salisbury AL;Gitelson-Kahn A;Venkatasubramanian K;Shahriari Y;Mankodiya K
全世界面临巨大健康风险的早产儿数量不断增加。这些婴儿需要在新生儿重症监护病房 (NICU) 中持续护理。使用一组附在身体上的有线粘性电极，对新生儿重症监护室中的早产儿的医疗参数进行连续监测。电极上使用的医用粘合剂可能对婴儿有害，导致皮肤受伤、不适和刺激。此外，NICU 中的呼吸频率 (RR) 监测面临准确性和临床质量的挑战，因为 RR 是从心电图 (ECG) 中提取的。本研究论文介绍了智能纺织压力传感器系统的设计和验证，该系统解决了 NICU 医疗监测的现有挑战。我们设计了两个由 Velostat 制成的电子纺织压阻压力传感器，用于无创 RR 监测；一件是在床垫面料上手工缝制的，另一件是使用工业刺绣机在牛仔布上刺绣的。我们开发了一种数据采集系统，用于在高保真、可编程 NICU 婴儿模型上进行验证实验。我们设计了一个信号处理管道，将原始时间序列信号转换为参数，包括 RR、上升和下降时间以及比较指标。实验结果表明，在 60 BrPM 测试用例中，手缝传感器的相对精度为 98.68（顶部传感器）和 98.07（底部传感器），而绣花传感器的相对精度为 99.37（左传感器）和 99.39（右传感器）。所提出的原型系统显示出有希望的结果，并需要对纺织品设计、人为因素和人体实验进行更多研究。
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.
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DOI：
10.1109/jbhi.2019.2898273
发表时间：
2019-11-01
影响因子：
7.7
作者：
Jorge, Joao;Villarroel, Mauricio;Tarassenko, Lionel
通讯作者：
Tarassenko, Lionel
影响因子：
4.3
作者：
Meyer, Jan;Arnrich, Bert;Troester, Gerhard
通讯作者：
Troester, Gerhard
DOI：
10.1097/won.0000000000000281
发表时间：
2016
期刊：
Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses Society
影响因子：
--
作者：
Edsberg LE;Black JM;Goldberg M;McNichol L;Moore L;Sieggreen M
通讯作者：
Sieggreen M
影响因子：
2.5
作者：
Sato, Shinichi;Ishida-Nakajima, Wako;Takahashi, Tsutomu
通讯作者：
Takahashi, Tsutomu
影响因子：
3.2
作者：
Atallah, L.;Serteyn, A.;Oetomo, S. Bambang
通讯作者：
Oetomo, S. Bambang