CDS&E: Novel Computational Models for Smart Wearable Blood Gas Monitor for Infants

CDS

• 批准号: 2203827
• 负责人: Ulkuhan Guler
• 金额: $ 49.93万
• 依托单位: Worcester Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2203827&HistoricalAwards=false
• 关键词: CDS& Novel; Computational; Models; Smart

Despite recent developments in medical wearable technology, monitoring of respiration parameters, compared to other vital signs, has yet to be sufficiently investigated. The majority of respiration research has focused heavily on respiration rate and blood oxygen saturation. Despite being well-known, these are only a subset of respiration parameters. Beyond that, blood oxygen and carbon dioxide partial pressures - called blood gases - have medical significance and the potential of being measured noninvasively. This research specifically addresses a serious and global problem, respiration disorders of infants. Respiratory distress is one of the most common reasons for infant admission to the neonatal intensive care unit. Studies have shown that after successful medical treatment in the neonatal intensive care unit, earlier discharge to a home life with remote monitoring infrastructures could improve the survival chances of these at-risk infants. Monitoring patients with respiratory disorders from a home setting could enhance the health and well-being of individuals of all ages, from neonatal patients with developing lungs to adults with chronic obstructive pulmonary disease (COPD), while creating and bringing new large data sets to the attention of clinicians. Currently, conventional blood gas monitors employed in corded-bedside equipment can find place in clinical settings. However, a wireless miniaturized blood gas monitoring system supported with computational models can extend the use beyond the hospital for long-term care. Besides these potential benefits to society, this project advances hardware-software co-design for wireless wearable sensors. Miniaturized blood gas research offers unique research experiences for undergraduate and graduate students to understand technical details of different disciplines and develop translational biomedical skills. The interdisciplinary team provides opportunities for underrepresented students to encourage them to pursue careers in research and STEM. The curriculum development allows to introduce interdisciplinary topics and hands-on experimental experiences to students.The goal of this project is to develop a hardware-software integration framework for a miniaturized, noninvasive, wireless, luminescence-based oxygen sensing wearable device with an open-source software toolkit. The toolkit accurately translates the blood oxygen levels by utilizing measured transcutaneous oxygen diffused through the skin. Within this framework, computational models of oxygen transport is used to iteratively design an estimation algorithm for the intelligent sensor. This sensor is resilient to noise arising from intra- and interpersonal variations, environmental factors, and sensor hardware operations. The core scientific contributions include 1) the presentation of computational models of oxygen transport incorporating factors affecting sensor readings such as weight, age, gender, sensor degradation, for building an estimation engine, for the first time in literature; 2) the creation of a novel miniaturized custom-designed wearable that measures transcutaneous oxygen; 3) the integration of hardware and software on a flexible miniaturized wearable device for long-term comfortable wear; 4) the determination of the computational models’ accuracy, the sensitivity of overall system, and the specificity of the sensor by capturing the dynamic respiratory physiological status of individuals with longitudinal data. The developed hardware-software platform is validated on humans. Having the ability of sensing vital blood oxygen parameter with a wearable supported with computational models is unique, filling an important gap in the miniaturization of the transcutaneous blood gas sensor for noninvasive wearable device applications.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.

尽管医疗可穿戴技术的最新发展，但与其他生命体征相比，对呼吸参数的监测尚未得到充分研究。大多数呼吸研究都集中在呼吸率和血氧安全性上。尽管众所周知，这些只是呼吸参数的一部分。除此之外，血氧和二氧化碳部分压力（称为血液）具有医学意义，并且具有无创测量的潜力。这项研究专门解决了婴儿的严重和全球问题。呼吸窘迫是婴儿接受新生儿重症监护病房的最常见原因之一。研究表明，在新生儿重症监护病房成功治疗后，较早的远程监测基础设施可以提高这些高危婴儿的生存机会。从家庭环境监测呼吸疾病的患者可以增强各个年龄段的人的健康和福祉，从发生肺部的新生儿患者到患有慢性阻塞性肺部疾病（COPD）的成年人，同时创建并带来新的大型数据集，并引起临床医生的注意。目前，在有线床边设备中使用的常规血液监测器可以在临床环境中找到位置。但是，由计算模型支持的无线微型血液监测系统可以将其扩展到医院以外的长期护理之外。除了这些对社会的潜在好处外，该项目还推进了无线可穿戴传感器的硬件软件共同设计。微型血液天然气研究为本科生和研究生提供了独特的研究经验，以了解不同学科的技术细节并发展转化的生物医学技能。跨学科的团队为代表性不足的学生提供了鼓励他们从事研究和STEM的职业的机会。课程开发允许向学生介绍跨学科主题和动手实验经验。该项目的目的是开发一个硬件软件集成框架，以使用开放式产品软件工具工具使用小型，非侵入性，无线，无线，基于发光的基于发光的氧气感应可穿戴设备。该工具包通过使用测量的经穿过皮肤扩散的经经皮氧准确地转化了血氧水平。在此框架内，氧气传输的计算模型用于迭代设计智能传感器的估计算法。该传感器对人体内和人际变化，环境因素和传感器硬件操作产生的噪声具有抵抗力。核心科学贡献包括1）介绍了影响传感器读数（例如体重，年龄，性别，传感器降解）的氧气传输导入因子，以构建文献中的估计引擎； 2）创建一种新颖的微型定制设计可穿戴设备，该可穿戴可穿戴氧气； 3）硬件和软件在灵活的微型可穿戴设备上集成，以实现长期舒适的磨损； 4）确定计算模型的精度，整体系统的敏感性以及传感器的特异性，通过捕获具有纵向数据的个体的动态呼吸器身体状态。开发的硬件软件平台已在人类上得到验证。具有与计算模型支持的敏感性重要的血液氧参数是独一无二的，这填补了非侵入性可穿戴设备应用的经皮血液气传感器的小型化的重要空白。该奖项反映了NSF的法定任务，并通过使用基金会的智力效果评估来获得评估，并以评估为基础，并具有广泛的效果。

项目成果

Power and Accuracy Optimization for Luminescent Transcutaneous Oxygen Measurements

发光经皮氧测量的功率和精度优化

• DOI: 10.1109/iscas48785.2022.9937677
• 发表时间: 2022
• 期刊: 2022 IEEE International Symposium on Circuits and Systems
• 作者: Kahraman, Burak;Costanzo, Ian;Kurfis, Neal;Bu, Guixue;Wang, Jiayuan;Foroozan, Foroohar;Guler, Ulkuhan
• 通讯作者: Guler, Ulkuhan

A Prototype Wearable Device for Noninvasive Monitoring of Transcutaneous Oxygen

用于无创监测经皮氧气的原型可穿戴设备

• DOI: 10.1109/tbcas.2023.3251321
• 发表时间: 2023
• 期刊: IEEE Transactions on Biomedical Circuits and Systems
• 影响因子: 5.1
• 作者: Vakhter, Vladimir;Kahraman, Burak;Bu, Guixue;Foroozan, Foroohar;Guler, Ulkuhan
• 通讯作者: Guler, Ulkuhan