Wearable Sweat Sensor for Non-invasive Wireless Monitoring of Heart Failure
Wearable Sweat Sensor for Non-invasive Wireless Monitoring of Heart Failure
批准号:
10022517
负责人:
Wei Gao
金额:
$18.87万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-23 至 2022-07-31
关键词:
AffectBiologicalBiological MarkersBlood PressureBlood specimenBody FluidsBrain natriuretic peptideCalibrationCardiovascular systemChemical StimulationChemistryChronic DiseaseCollectionCommunicationCongestive Heart FailureCorrelation StudiesDisease modelElectrolytesElectronicsEngineeringFeedbackFunctional disorderGoalsHealthHealthcare IndustryHeart failureHumanInstitutional Review BoardsInvestigationIontophoresisMeasurementMeasuresMedicalMedicineMethodsMicrofluidicsMonitorMorphologic artifactsOutpatientsPatientsPhysiologic MonitoringPhysiologicalPotassiumProviderResearchRoleSamplingSchemeSensitivity and SpecificityStudy of serumSweat testSystemTechnologyTimeTransistorsValidationWeightWireless Technologybaseclinically relevantcostdesignelectric impedanceflexibilityhealth managementimprovedin vivomHealthmortalitynanomaterialsnovelsensorsuccesstoolwearable devicewearable sensor technology
中文摘要
项目摘要
心力衰竭(HF)是一种非常常见、昂贵且可能致命的健康状况,影响超过4000万人
全球的人。移动医疗技术在改善HF门诊管理方面的作用正在显现。
然而,目前大多数基于mHealth的HF监测系统,其测量血压,
体重和心电图记录并没有显示全因死亡率的降低。人类的汗水
一种含有大量分析物的关键体液,包括HF中密切监测的电解质
患者(例如,钾)和关键的HF生物标志物(例如,脑利钠肽(BNP))。因此,汗水可以
作为一个完美的候选人开发mHealth工具对非侵入性和动态HF监测。
在这项提案中,我们的目标是开发一种集成的可穿戴汗液传感器贴片,用于非侵入性,个性化,
和心力衰竭的动态监测。所提出的可穿戴汗液传感器平台可以执行
通过集成的离子电渗模块进行自主汗液感应,
微流控通道和汗液电解质(即钾)的连续分析以及其他临床应用。
心力衰竭的相关生物标志物(即BNP)。体内传感器验证和动态相关性研究
使用可穿戴汗液传感器的血清和汗液电解质和生物标志物的检测将在健康人群中进行。
科目将进行进一步的人体试验,以确定HF患者的汗液分析是否
可以可靠地评估电解质和生物标志物水平,并将可穿戴汗液传感器纳入
集成mHealth平台,用于监测慢性HF的生理参数。利用
我们团队的跨学科教育和研究背景,跨越化学,工程,
和心血管医学,以下建议将允许我们的团队开发一种可穿戴的汗液传感器,
探索监测HF患者临床相关生物标志物的新方法。成功
将把移动的健康管理、监测和反馈统一到一个可穿戴平台上。
该平台不仅有可能彻底改变慢性心力衰竭的管理,
通过发现一种有意义的方式来整合使用
可穿戴电子设备到慢性疾病模型中。
英文摘要
Project Summary
Heart failure (HF) is a very common, costly and potentially fatal health condition which affects over 40 million
people globally. The role of mHealth technologies in improving the outpatient management of HF is emerging.
However, the majority of the current mHealth based HF monitoring systems, which measure blood pressure,
weight, and electrocardiographic recordings, did not show a reduction in all-cause mortality. Human sweat is
a key body fluid that contains a wealth of analytes, including electrolytes that are closely monitored in HF
patients (e.g., potassium) and key HF biomarkers (e.g., brain natriuretic peptide (BNP)). Thus, sweat could
serve as a perfect candidate for developing mHealth tools toward non-invasive and dynamic HF monitoring.
In this proposal, we aim to develop an integrated wearable sweat sensor patch for non-invasive, personalized,
and dynamic monitoring of heart failure. The proposed wearable sweat sensor platform can perform
autonomous sweat induction through an integrated iontophoresis module, efficient sweat sampling through
microfluidic channels, and continuous analysis of sweat electrolytes (i.e. potassium) as well as other clinically
relevant biomarkers for heart failure (i.e. BNP). The in vivo sensor validation and dynamic correlation study
of serum and sweat electrolytes and biomarkers using the wearable sweat sensor will be performed in healthy
subjects. Further human trials will be implemented to determine whether sweat analysis in patients with HF
can reliably assess electrolyte and biomarker levels, and incorporate a wearable sweat sensor into an
integrated mHealth platform to monitor physiological parameters in chronic HF. Harnessing the strengths of
our team’s interdisciplinary educational and research background, spanning across chemistry, engineering,
and cardiovascular medicine, the following proposal will allow our team to develop a wearable sweat sensor
patch to explore the novel method of monitoring clinically relevant biomarkers in patients with HF. The success
of this project will unify mobile health management, monitoring and feedback into a single wearable platform.
This platform has the potential to not only revolutionize the management of chronic heart failure, but also to
significantly impact the healthcare industry by discovering a meaningful way to incorporate the use of
wearable electronics into a chronic disease model.
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