Automated Extracranial Internal Carotid Artery Ultrasound Sensor for Traumatic Brain Injury
NCT ID: NCT03482206
Last Updated: 2019-08-19
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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WITHDRAWN
NA
INTERVENTIONAL
2019-01-01
2019-06-30
Brief Summary
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The investigators' goal is to develop of a wearable noninvasive, continuous, automated ultrasound sensor to accurately measure extracranial ICA flow volume. In doing so, the investigators aim to enable early detection of CBF compromise, thereby preventing secondary ischemic injuries in TBI patients. To achieve this goal, the investigators plan to first build a prototype wearable ICA ultrasound senor with integrated signal processing platform, then test its accuracy in an in vitro system and healthy human subjects.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Healthy subjects
Healthy adult volunteers (age 18 or greater) that are not claustrophobic, do not have hyperventilation or panic disorders, not pregnant, have no metal implants and can pass the MRI screening questions.
Automated extracranial internal carotid artery ultrasound sensor
The investigators' goal is to develop a wearable noninvasive, continuous, automated ultrasound sensor to accurately measure arterial blood flow volume outside of the head. Ultrasound uses sound waves to create a picture. In doing so, the investigators hope to detect CBF compromise early, preventing secondary injuries in TBI patients.
Interventions
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Automated extracranial internal carotid artery ultrasound sensor
The investigators' goal is to develop a wearable noninvasive, continuous, automated ultrasound sensor to accurately measure arterial blood flow volume outside of the head. Ultrasound uses sound waves to create a picture. In doing so, the investigators hope to detect CBF compromise early, preventing secondary injuries in TBI patients.
Eligibility Criteria
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Inclusion Criteria
* Age 18 or older
Exclusion Criteria
* Hyperventilation or panic disorders
* Pregnant
* Have metal implants or cannot pass the MRI screening questions
18 Years
ALL
Yes
Sponsors
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University of Michigan
OTHER
Responsible Party
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Cindy Hsu
Assistant Professor
Other Identifiers
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HUM00137659
Identifier Type: -
Identifier Source: org_study_id
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