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Interdisciplinary Biomedical Research Program (IBRP)

 
   
 

Ki H. Chon, Ph.D.
Associate Professor of Biomedical Engineering, Physiology & Biophysics. Funding through the National Institute of Heart, Lung and Blood, and National Center for Research Resources.


Figure 1. Time-varying Impulse Response Functions of Renal Blood Flow: Normotensive (Top Panel) and Hypertensive Rats (Bottom Panel).

Research in our laboratory involves medical instrumentation, biosignal processing, modeling, simulation and development of novel algorithms to understand dynamic processes and extract distinct features of physiological systems. Two physiological systems currently being investigated are the cardiovascular autonomic nervous system and renal autoregulatory mechanisms as they relate to understanding hypertension. The objective of the cardiovascular system is to detect, quantify, and interpret differences in dynamic characteristics of the cardiac autonomic nervous system between normal and diseased subjects, in an attempt to find a marker for increased risk of sudden cardiac death. Identifying and quantifying differences in the dynamic characteristics of autonomic function between normal and diseased conditions may lead to a better understanding of the role of autonomic function imbalance in diseased conditions, and should have important clinical and diagnostic and prognostic application. The primary goal of the renal system is to unravel the underlying reasons for the changes in autoregulatory mechanics between normotensive and hypertensive conditions using various animal models (e.g., normotensive, hypertensive rats and knockout mice).

The second category of research involves development of a portable biosensor medical device and new robust detection algorithms to monitor and assess cardiovascular conditions such as heart failure. The main goal is to design and test the feasibility of a manufactured portable device that can be used in conjunction with an Internet hospital.

Student Background: An ideal undergraduate should have a good engineering and math background, especially an introductory familiarity with linear systems, and linear algebra. Useful also are programming skills in C/C++ and MATLAB. Student should be also willing to be involved in experiments involving either human or animals. Students majoring in Electrical Engineering, Applied Math, Physics and Physiology with good math background, would be ideal.

Contact Information
email: ki.chon@sunysb.edu
url: http://www.bme.sunysb.edu/bme/people/faculty/k_chon.html

 

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