Treatment decisions in Critical Care are made based on readings from external transducers that are manually leveled (by eye or by leveler) to the phlebostatic axis. A clinician may level the external transducer 2-3x per hour based on patient activity or questionable readings. CathAlign combines a novel sensing solution with ehanced transducer attachement safety features to improve nursing workflow and reduce avoidable hospital errors.
Student team
Cody Cooper
Stephen Phillips
Shikhar Varshney
Mentoring team
Greta Anaman (Critical Care)
Jonathan Liu, PhD (Mechanical Engineering)
Martin Poenot (Electrical Engineering)
Year
Continuing project
Yes