Advisor: Khosrow Behbehani, Ph.D., P.E.
Modern health care relies on a large array of medical instruments to monitor patient condition and administer therapeutic treatments. Examples of such instruments are electrocardiograph, electroencephalograph, mechanical respirator, cardiac pacemaker, anesthesia machine, and kidney dialysis machine. The Bioinstrumentation track of our program focuses on training engineers who can design instruments to further enhance the quality of health care. A wide range of research projects is available to the students in this track.
Research Opportunities
Patient-adaptive Treatment of Obstructive Sleep Apnea
Non-invasive Determination of Airway Impedance During Sleep
Human Performance
Automated Determination of Resource Demand for Non-linear Casual Resource Analysis
Recent Thesis Research Topics
Non-Invasive Measurement of Cardiopulmonary Function During Exercise
Apnea Detection and Classification Using Spectral Analysis and Fuzzy Logic
Design and Characterization of a System for Measurement and Control of Nitric Oxide
Arterial Pressure Determinants of Sympathetic Nerve Activity During Arrhythmias
Computational Tools for Genetic Analysis
Detection of DNA Hybridization Using the Texas Instruments TISPR-1 Surface Plasmon Resonance Biosensor
Comparative Study Between Automated and Continuous Positive Airway Pressure for Treatment of Obstructive Sleep Apnea
BME 5320 Clinical Engineering - hazards and safety programs in hospitals as well as hospital codes, standards, and regulations. Setup and operation of clinical engineering programs in hospitals, including shared-services programs, also are covered.
BME 5345 Bioinstrumentation II - light and spectrophotometry, chemical transducers, ventilators, anesthesia equipment, defibrillators, fundamentals of medical imaging, lasers, electrosurgical devices, measurement of pulmonary function, and cardiac pacemakers.
BME 5350 Modeling and Control of Biological Systems - fundamental methods of modeling, analysis, and control of biological systems; linear system modeling; state-space modeling; stability analysis; basic control strategies; and identification techniques. Examples from cardiopulmonary, visual, and motor control systems are given.
BME 5351 Digital Control of Biomedical Systems - design and control strategies for microprocessor-based medical equipment, discrete and sampled data systems, Z transform, digital control design methods, stability considerations, and closed-loop system response.
These selected courses from Computer Science & Engineering, Mechanical Engineering and Electrical Engineering are also recommended.
Microprocessors
CSE 5342 Microcomputer Systems I
CSE 5343 Microcomputer Systems II
CSE 5311 Digital Computer Design
EE 5313 Microprocessor Systems
EE 5314 Advanced Microprocessor Systems
EE 5315 Special Purpose Microprocessors
EE 5328 Principles of Instrumentation and Measurement
ME 5333 Microprocessors and Applications
Electronics and Optics
CSE 5345 VLSI Systems Design
EE 5336 Integrated Opticsy
EE 5337 Fourier Optics and Holography
EE 5338 Optical Electronics
EE 5340 Semiconductor Device Theory I
EE 5341 Semiconductor Device Theory II
EE 5342 Semiconductor Device Modeling and Characterization
EE 5343 Integrated Circuit Fabrication Technology
EE 5345 Electronics Manufacturing
EE 5346 Microwave Devices
EE 5347 Microwave Circuits
EE 5348 Radio-Frequency Circuit Design
EE 5349 Topics in Integrated Circuit Technology
ME 5330 Mechatronics
Control and Modeling
CSE 5316 Modeling and Simulation
EE 5321 Optimal Control Theory
EE 5322 Optimal Estimation Theory
EE 6321 Adaptive Control Systems
EE 5325 Robotics
EE 6322 Nonlinear Control
EE 6325 Robotic Control
ME 5308 Modern Control
ME 5309 Nonlinear (AI) Control
ME 5329 Computer Control of Manufacturing Systems
ME 5337 Introduction to Robotics
ME 5341 Control Systems Components
Signal Processing
CSE 5360 Artificial Intelligence I
CSE 5361 Artificial Intelligence II
CSE 5362 Expert Systems
CSE 5366 Digital Signal Processing
CSE 5368 Neural Networks
CSE 6367 Computer Vision
EE 5351 Digital Signal Processing
EE 5352 Statistical Signal Processing
EE 5355 Discrete Transforms and Their Applications
EE 5359 Topics in Signal Processing
EE 6351 Neural Networks
EE 6358 Computer Vision
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