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

IF 1.6 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2022-01-01 Epub Date: 2021-07-17 DOI:10.1007/s11265-021-01669-9
Gozde Cay, Vignesh Ravichandran, Manob Jyoti Saikia, Laurie Hoffman, Abbot Laptook, James Padbury, Amy L Salisbury, Anna Gitelson-Kahn, Krishna Venkatasubramanian, Yalda Shahriari, Kunal Mankodiya
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引用次数: 13

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.

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用于新生儿重症监护病房监测的电子纺织呼吸传感系统:设计与验证。
全世界面临严重疾病风险的早产儿数量正在增加。这些婴儿需要在新生儿重症监护病房(NICU)持续护理。在新生儿重症监护病房,使用一套连接在身体上的有丝的、粘的电极,对早产儿的医疗参数进行持续监测。电极上使用的医用粘合剂可能对婴儿有害,造成皮肤损伤、不适和刺激。此外,由于呼吸速率(RR)的监测是从心电图中提取的,因此在新生儿重症监护病房(NICU)中监测呼吸速率(RR)的准确性和临床质量面临挑战。本文介绍了一种智能纺织品压力传感器系统的设计和验证,该系统解决了新生儿重症监护室医疗监测的现有挑战。设计了两种由Velostat公司制造的电子纺织压阻式压力传感器,用于无创RR监测;一件是手工缝制在床垫上,另一件是用工业绣花机绣在牛仔布上。我们开发了一种数据采集系统,用于在高保真、可编程的新生儿重症监护病房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包括RR、上升和下降时间以及比较指标在内的参数。实验结果表明,60 BrPM测试用例中,手工缝制传感器的相对精度分别为98.68(上传感器)和98.07(下传感器),刺绣传感器的相对精度分别为99.37(左传感器)和99.39(右传感器)。该原型系统显示出良好的效果,需要在纺织品设计、人为因素和人体实验方面进行更多的研究。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
106
审稿时长
4-8 weeks
期刊介绍: The Journal of Signal Processing Systems for Signal, Image, and Video Technology publishes research papers on the design and implementation of signal processing systems, with or without VLSI circuits. The journal is published in twelve issues and is distributed to engineers, researchers, and educators in the general field of signal processing systems.
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