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DTSTART:20191103T020000
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UID:calendar.379146.field_event_date.0@www.wright.edu
DTSTAMP:20260220T001030Z
CREATED:20191206T215851Z
DESCRIPTION:Ph.D. Committee:  Drs. Nikolaos Bourbakis (advisor)\, Soon Chun
 g\, Yong Pei\, Konstantina Nikita (National Technical University of Athens
 )\, and Iosif Papadakis Ktistakis (ASML) ABSTRACT:As the population of old
 er individuals increases worldwide\, the number of people with cardiovascu
 lar issues and diseases has also increased. The rate at which individuals 
 in America and worldwide that succumb to cardiovascular disease is rising 
 as well. That is\, approximately 2\,303 Americans die to some form of card
 iovascular disease per day according to the American Heart Association. Fu
 rthermore\, the World Health Organization reports that the number one caus
 e of death globally is from cardiovascular disease in the form of either m
 yocardial infarctions or strokes.A way of helping these individuals is fro
 m continued treatment and monitoring research. In the form of cardiovascul
 ar monitoring\, there are multiple different ways of viewing the human hea
 rt. That is\, Magnetic Resonance Imaging (MRI)\, Positron Emission Tomogra
 phy (PET)\, Computed Tomography (CT)\, and Ultrasonography are the four pr
 imary imaging techniques. Though\, continuous monitoring with these imagin
 g techniques is far from currently possible. Large financial cost and size
  (MRI)\, radiation exposure (PET and CT)\, or necessary physician assistan
 ce (Ultrasonography) are the current primary problems.Therefore\, in an ef
 fort to improve the continuous monitoring capabilities for cardiovascular 
 health\, we propose a novel wearable ultrasound vest to create a near 3D m
 odel of the heart in real time. The 3D modeling will be created using a St
 ereo Vision 3D modeling algorithm. This system also includes an individual
 ized prediction methodology via our novel Machine Learning algorithm calle
 d the Constrained State Preserved Extreme Learning Machine (CSPELM). The w
 earable vest will not require continuous medical professional assistance a
 nd will allow for real time autonomous monitoring of cardiovascular health
 .
DTSTART;TZID=America/New_York:20191216T100000
DTEND;TZID=America/New_York:20191216T120000
LAST-MODIFIED:20191209T133140Z
LOCATION:467 Joshi
SUMMARY:Ph.D. Dissertation Proposal Defense A Novel Wearable Ultrasound Ves
 t with Individualized Capabilities of Near 3D Modeling and Real-Time Monit
 oring of the Heart By Garrett Goodman
URL;TYPE=URI:/events/phd-dissertation-proposal-defens
 e-novel-wearable-ultrasound-vest-individualized-capabilities
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