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Cardiac
Monitoring Cardio/Pulmonary
Functionality Inference The collection
of projects are aimed at advancing current state of the art in understanding
cardiac functionality and its relation to the sounds emanated from the heart.
These projects rely heavily on physiological understanding of the cardio
pulmonary system. The physiological knowledge is provided by Prof. Noam
Gavriely. Following
algorithms and data manipulations which result from the physiological process, our goal is to provide the
necessary machine learning and signal processing algorithms to best reflect
the cardiac functionality changes we are mostly interested in. Data for this
work comes from healthy subjects as well as patients. Inference of
basic cardiac functionality It is well
known that there are strong interactions between the (somatic) sensory system
and its brain activity. In particular, we are interested in the interaction
of brain activity under high blood pressure and other cardiac malfunction. We
are also interested in the connection between the sensory system and
epilepsy. First step in
this project relies on concurrent recording of EEG data and ECG data in
epileptic patients. Students
interested in this project should gain basic knowledge in signal processing,
learning machines and physiology and be prepared to spend some of their time
in a hospital environment. All the
brain imaging related work are in conjunction with Dr. Talma Hendler the Head
of the Brain Imaging Unit at |
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