Recipient
FLOSONICS MEDICALDepartment
National Research Council CanadaAmount
$186.0K
Province
ONType
C
Agreement Number
1033604
Purpose
This project aims to develop and validate machine learning algorithms that can automatically segment and interpret internal jugular and carotid blood flow signals captured by the FloPatch wearable Doppler ultrasound sensor. The resulting solution will provide clinicians with a non-invasive, objective tool to assess jugular venous pressure (JVP) and right heart function, improving fluid management in both acute and ambulatory care settings.
FLOSONICS MEDICAL × National Research Council Canada
9 grants totalling $2.2M
Industrial Research Assistance Program – AI Assist
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