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最近有所发展，但与其他生命体征相比，呼吸参数的监测尚未得到充分的研究。大多数呼吸研究都集中在呼吸速率和血氧饱和度上。尽管众所周知，这些只是呼吸参数的一个子集。除此之外，血氧和二氧化碳分压——被称为血气——具有医学意义，并且具有无创测量的潜力。这项研究专门针对一个严重的和全球性的问题，婴儿呼吸障碍。呼吸窘迫是婴儿入住新生儿重症监护病房的最常见原因之一。研究表明，在新生儿重症监护室成功治疗后，尽早出院到有远程监测基础设施的家庭生活中，可以提高这些处于危险中的婴儿的生存机会。从家庭环境中监测呼吸系统疾病患者可以增强所有年龄段个体的健康和福祉，从肺部发育的新生儿患者到患有慢性阻塞性肺疾病（COPD）的成年人，同时创建并将新的大型数据集提请临床医生注意。目前，传统的血气监测仪应用于有绳床边设备可以在临床环境中找到一席之地。然而，一种支持计算模型的无线小型化血气监测系统可以将其用于医院以外的长期护理。除了这些对社会的潜在好处之外，该项目还推进了无线可穿戴传感器的软硬件协同设计。微型化血气研究为本科生和研究生了解不同学科的技术细节和培养转化生物医学技能提供了独特的研究体验。跨学科团队为代表性不足的学生提供机会，鼓励他们从事研究和STEM领域的职业。课程开发允许向学生介绍跨学科主题和动手实验经验。该项目的目标是开发一个硬件软件集成框架，用于小型化、无创、无线、基于发光的可穿戴氧传感设备，并使用开源软件工具包。该工具包通过测量经皮扩散的氧通过皮肤准确地翻译血氧水平。在此框架下，利用氧输运的计算模型，迭代设计智能传感器的估计算法。这种传感器对内部和人际变化、环境因素和传感器硬件操作产生的噪声具有弹性。核心科学贡献包括：1)首次在文献中提出了包含影响传感器读数的因素（如体重、年龄、性别、传感器退化）的氧传输计算模型，用于构建估计引擎；2)创造一种新型的小型化定制设计的可穿戴设备，用于测量经皮氧气；3)将硬件和软件集成在灵活的小型化可穿戴设备上，实现长期舒适佩戴；4)通过纵向数据捕获个体的动态呼吸生理状态，确定计算模型的准确性、整个系统的灵敏度和传感器的特异性。开发的硬件软件平台在人体上进行了验证。具有计算模型支持的可穿戴设备感知重要血氧参数的能力是独一无二的，填补了用于无创可穿戴设备应用的经皮血气传感器小型化的重要空白。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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

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