Teaching Aspects
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The relationship between Biomedical Sciences and Electrical engineering is reciprocal. Electrical Engineering has a major role in advanced medicine, in the development of diagnostic and therapeutic equipment and methods. On the other hand, principles of the biological sciences occasionally inspire engineers and have a role in advanced technologies, such as artificial neural networks and evolutionary computation.

The Biomedical Electronics Laboratory expose the students to biological signals (e.g., EMG, EEG, ECG), from the generation to measurement processes that may involve psychophysical experiments, and the use of algorithms for signal analysis and simulations. It serves both graduate and undergraduate students in performing various lab experiments, and projects.

The facilities of the lab include digital and analog equipment for signal acquisition, processing, and storage; computer-controlled setups for neuromuscular movement control, FNS systems, and evoked-potential studies; and many workstations with the appropriate software for data analysis and for simulations with the state of the art algorithms.

Following is a short description of the courses, labs and projects that are affiliated with the Biomedical Electronics Laboratory. The labs and the projects are performed with supervisors from the faculty stuff and sometime with advisors from the faculty of biomedical engineering, from the school of medicine and from the Industry. We plan to include in the basic introductory course a few simple experiments of recording and analyzing physiological data. For that purpose we plan to purchase a new "student physiology lab" (of Biopac systems Inc.) that integrates hardware, software, and documentation that guides students through a set of lessons which illustrate fundamental physiological principles.

046326 - INTRODUCTION TO BIOLOGICAL SIGNALS & SYSTEMS
This course is an introduction to biophysics of nerve and muscle cells and includes analysis of basic physiological signals and systems. It describes the basic models with the mathematical and engineering tools from the field of circuits, probability and system and signals analysis that the students already know. The syllabus includes: The membrane theory; The Hodgkin and Huxley's model, passive and active propagation; The synapse; Adaptive and learning networks; The muscle and muscle spindle models.


046331 - PHYSIOLOGICAL CONTROL SYSTEMS
This course expands the analysis of physiological components by writing the system equations, estimating their parameters, characterizing the feedback elements, and analyzing the closed loop system. The course includes an analysis of the neuromuscular system and introduction to human motor control, and models of the cardiovascular system, the control of cardiac pacemakers, the regulation of bloodsuger level and the development of artificial pancreas.
  • The subjects of the two introductory courses above are further discussed in graduate courses such as:
    048902 - BIOLOGICAL SIGNALS AND SYSTEMS.
048747 - BIOLOGICAL SIGNALS & SYSTEMS LABORATORY
This is a project lab for graduate students. The lab projects includes analysis of physiological systems; Development and application of signal pattern recognition methods for diagnostic purposes; Development of instrumentation for physiological research and clinical investigation; and Development and simulation of models for biological systems and processes.

044167 - LAB. PROJECT A, 044169 - LAB. PROJECT B
Undergraduate students are required to perform two lab projects and they can choose to perform one or both of them in the Biomedical Electronics laboratory.

 

A Few examples of projects from the previous semesters are
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  • EEG Biofeedback System.
  • Information Transmission in the Muscle Spindle.
  • Cursor Control With an Eye Movement.
  • Identification & Classification of evoked potentials via a competitive neural network structure.
  • Signature verification using acceleration measures by an electronic pen.
  • Investigation of Heart Rate Variability.
  • Investigation of electrical behavior of brain tissue.
  • Estimation of fetal heart activity.