A Hand-held, Portable Robotic Device for Automated Venipuncture.
A Hand-held, Portable Robotic Device for Automated Venipuncture.
批准号:
10461711
负责人:
Josh Leipheimer
金额:
$3.5万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-25 至 2022-08-24
关键词:
AcousticsAcuteAddressAlgorithmsBloodBlood specimenCannulationsCathetersClassificationClinicalComputer softwareConsumptionDetectionDevelopmentDevicesEnvironmentEvaluationGoalsHandHealth care facilityHealthcareHumanImageInjuryInterventionIntravenousMedicalModelingMotionMotivationMovementNeedlesOpticsOutcomePatient CarePatientsPeripheralPhysiologyPilot ProjectsPositioning AttributeProceduresProcessPropertyPuncture procedureReportingResearchRoboticsSeveritiesStreamSystemTimeTissuesTrainingUltrasonographyUnited StatesVeinsVenipuncturesVenousWorkarmclinical translationcostdetection platformexperienceeye hand coordinationforce feedbackhuman datahuman studyimage guidedimprovedmachine learning algorithmnovelpatient safetyportabilityrobotic devicesegmentation algorithmskillssuccess
中文摘要
摘要
静脉穿刺,即获得静脉通路以放置导管或采血的过程,
这是世界上最标准的临床手术之一。这也是导致患者和
医疗机构中的从业人员伤害。这是因为成功识别和插管静脉依赖于
严重依赖于临床医生的专业知识和患者的生理机能,其中不可见、不可触知或滚动的静脉产生
快速安全地获得静脉通路是临床医生面临的挑战。我的论文项目涉及到
开发用于安全有效获得静脉通路的超声图像引导手持装置
在病人身上。该设备的工作原理是使用超声成像来识别血管插管,以便机器人
将连接的针头安全地引导到静脉中心,所有这些都包含在手持式、易于使用的便携式设备中。
本文的研究内容涉及手持设备的开发,包括:1)开发一种
穿刺预测软件,用于确保第一棒的准确性和2)手持机器人设备的开发
用于便携式使用和进行导管插入。这项工作的结果将是一个手的基础-
手持自动静脉穿刺装置,可实现安全、快速和简单的静脉穿刺。我们的假设是
利用超声图像引导和机器人针放置将提高首次穿刺的准确性和安全性,
同时简化了整个静脉穿刺过程并减少了临床医生的手术时间。
英文摘要
Abstract
Venipuncture, the process of obtaining intravenous access for either catheter placements or blood sampling, is
one of the most standard clinical procedure performed worldwide. It is also the leading cause of both patient and
practitioner injury in healthcare facilities. This is because successfully identifying and cannulating veins relies
heavily on clinician expertise and patient physiology, where non-visible, non-palpable, or rolling veins create
challenges for clinicians to quickly and safely obtain venous access. My thesis project is involved with the
development of an ultrasound image-guided hand-held device for safely and efficiently obtaining venous access
in patients. The device works by using ultrasound imaging to identify vessels for cannulation in order to robotically
guide an attached needle safely to the vein center, all comprised within a hand-held, easy to use portable device.
The proposed research here involves the development of the hand-held device, including 1) development of a
puncture prediction software for assuring first-stick accuracy and 2) development of the hand-held robotic device
for portable use and performing catheter insertions. The outcome of this work will be the groundwork for a hand-
held automated venipuncture device for safe, quick, and simple venous access. Our hypothesis is that a device
utilizing ultrasound image guidance and robotic needle placement will increase first-stick accuracy and safety for
patients while simplifying the entire venipuncture process and reducing procedure time for clinicians.
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