EAGER: Towards a multimodal smart textile medical monitoring system for Neonatal ICUs

EAGER:为新生儿 ICU 打造多模式智能纺织医疗监测系统

基本信息

  • 批准号:
    2139724
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

The rate of premature babies is rising in the US affecting 78 per 1000 live births admitted to Neonatal Intensive Care Unit (NICU) yearly. Due to low birth weight and underdeveloped body systems, premature babies are at a high risk of experiencing both short-term and long-term health issues. However, to date, NICUs still use gel-based sticky electrodes glued to the fragile, underdeveloped skin of premature babies. Studies have reported that these electrodes could cause skin harm such as rashes, irritation, breakdown, and stripping. Moreover, these electrodes are connected using long wires that make the critical care for nurses inconvenient, tedious, and time consuming. Drying sticky electrodes often lead to a loose connection with the skin and ultimately compromise the quality of medical monitoring. Because of long wires, parents find it difficult to provide skin-to-skin/kangaroo care to their babies while in NICU. The central objective of this EAGER proposal is to design and test a novel smart e-textile system, a chest belt that can enhance medical monitoring practices in NICU. The proposal synergizes the team’s expertise in areas of smart textile, physiological monitoring, biosignal processing, and human-centered technology design to address critical need for smart, safe, and connected monitoring systems in NICUs. In addition to the scientific impacts of this EAGER, the proposed work will advance national health by addressing multiple existing gaps in NICUs. The educational and outreach plans will provide training opportunities for women and under-represented minorities and will also develop a K-12 curriculum.The overarching goal of the project is to design and test a new NICU-centered wireless medical monitoring technology that is designed from biocompatible smart textile materials requiring no adhesive gel. Aim 1 will focus on NICU centered design and development of smart textile-based medical monitoring systems. Aim 2 will focus on characterization and evaluation of the proposed smart e-textile. The project will start with an ethnographic study of the NICU, focus groups involving NICU nurses, and interviews of parents of babies in the NICU to understand the challenges associated with providing care to premature babies. This will lead to the development of a novel functional prototype of a wireless smart textile technology that can offer reliable monitoring of medical signals with improved comfort. The project includes a feasibility study to measure the performance and usability of the proposed smart textile on healthy adults and healthy infants. The study will enable us to develop signal analysis methods for signal quality index and noise characterization that are critical to address the issue of false alarms in NICU caused by poor skin-electrode contacts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在美国,早产儿的比率正在上升,每年每1000名新生儿中就有78名被送往新生儿重症监护病房(NICU)。由于出生体重低,身体系统不发达,早产儿面临短期和长期健康问题的高风险。然而,到目前为止,NICU仍然使用基于凝胶的粘性电极,粘在早产儿脆弱而不发达的皮肤上。研究报告称,这些电极可能会导致皮肤损伤,如皮疹、刺激、破裂和剥离。此外,这些电极是用长电线连接的,这使得护士的危重护理不便、繁琐和耗时。干燥粘稠的电极往往会导致与皮肤的连接松动,最终危及医疗监测的质量。由于电线较长,父母在NICU期间很难为他们的婴儿提供皮肤到皮肤/袋鼠护理。这项急切的提案的中心目标是设计和测试一种新型的智能电子纺织系统,一种可以加强NICU医疗监测实践的胸带。该提案整合了该团队在智能纺织品、生理监测、生物信号处理和以人为中心的技术设计领域的专业知识,以满足NICU对智能、安全和联网监测系统的迫切需求。除了这种急切的科学影响外,拟议的工作还将通过解决NICU中的多个现有差距来促进国家健康。教育和推广计划将为妇女和代表性不足的少数民族提供培训机会,并将开发K-12课程。该项目的总体目标是设计和测试一种以NICU为中心的新无线医疗监测技术,该技术由生物兼容的智能纺织品材料设计而成,不需要粘合剂。目标1将专注于以NICU为中心的基于智能纺织品的医疗监测系统的设计和开发。目标2将侧重于对拟议的智能电子纺织品进行表征和评估。该项目将首先对NICU进行人种学研究,由NICU护士组成的焦点小组,以及对NICU中婴儿的父母进行采访,以了解向早产儿提供护理的相关挑战。这将导致开发一种新的无线智能纺织技术的功能原型,该技术可以提供可靠的医疗信号监控,并提高舒适性。该项目包括一项可行性研究,以衡量拟议的智能纺织品在健康成年人和健康婴儿身上的性能和可用性。这项研究将使我们能够开发信号质量指数和噪声表征的信号分析方法,这些方法对于解决NICU中由于皮肤电极接触不良而导致的错误警报问题至关重要。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
NeoWear: An IoT-connected e-textile wearable for neonatal medical monitoring
  • DOI:
    10.1016/j.pmcj.2022.101679
  • 发表时间:
    2022-09-05
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Cay, Gozde;Solanki, Dhaval;Mankodiya, Kunal
  • 通讯作者:
    Mankodiya, Kunal
Nisshash: Design of An IoT-based Smart T-Shirt for Guided Breathing Exercises
  • DOI:
    10.1109/smartcomp58114.2023.00019
  • 发表时间:
    2023-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Md Abdullah Al Rumon;Veeturi Suparna;Mehmet Seckin;Dhaval Solanki;K. Mankodiya
  • 通讯作者:
    Md Abdullah Al Rumon;Veeturi Suparna;Mehmet Seckin;Dhaval Solanki;K. Mankodiya
NAPNEA: A Cost Effective Neonatal Apnea Detection System
NAPNEA:具有成本效益的新生儿呼吸暂停检测系统
  • DOI:
    10.1109/chase52844.2021.00022
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Altekreeti, Afnan;Roberts, Michaela;Convey, Dan;Leighton, Sarah;Setear, Madeline;Cay, Gozde;Solanki, Dhaval;Mankodiya, Kunal
  • 通讯作者:
    Mankodiya, Kunal
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Kunal Mankodiya其他文献

Interactive Shopping Experience through Immersive Store Environments
通过沉浸式商店环境实现互动购物体验
  • DOI:
    10.1007/978-3-642-39238-2_41
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kunal Mankodiya;Rolando Martins;Jonathan Francis;Elmer Garduño;R. Gandhi;Priy A Narasimhan
  • 通讯作者:
    Priy A Narasimhan
Smart Mattress Pad for Tracking Pressure Injuries in the Geriatric Population
用于跟踪老年人压力损伤的智能床垫垫
Exploring the Impact of Parkinson’s Medication Intake on Motor Exams Performed in-home Using Smart Gloves
探索帕金森病药物摄入量对使用智能手套在家进行的运动检查的影响

Kunal Mankodiya的其他文献

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{{ truncateString('Kunal Mankodiya', 18)}}的其他基金

PFI-TT: Smart Gloves for Remote Clinical Assessments and Treatment Monitoring
PFI-TT:用于远程临床评估和治疗监测的智能手套
  • 批准号:
    1919135
  • 财政年份:
    2019
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CAREER: CPS: Internet of Wearable E-Textiles for Telemedicine
职业:CPS:用于远程医疗的可穿戴电子纺织品互联网
  • 批准号:
    1652538
  • 财政年份:
    2017
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
CRII: SCH: Brain-Body Sensor Fusion: Merging Neuroimaging With Full-Body Motion Capture
CRII:SCH:脑体传感器融合:将神经成像与全身运动捕捉相结合
  • 批准号:
    1565962
  • 财政年份:
    2016
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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