Scheidt Course Resources:
BIEN
112: Embedded Biomedical Instrumentation (3 sem. hrs.)
Development of embedded systems for the medical electronics industry. Fundamentals of embedded systems development including: analog hardware tools for embedded systems, digital circuit design and analysis, embedded software development and process issues including analysis and design, configuration management, hazard and risk analysis and systems testing. Offered spring term.
Lab Example: Neuroprosthesis using the Motorola HC12.
BIEN
193: Biocomputer Design Lab I (3 sem. hrs.)
This course covers topics relevant to small-scale computer-based medical systems including physiological simulation, monitoring and control. Students will develop fundamental hands-on skills in developing computer-based medical applications including both hardware and software. Topics to be covered include: Simulating physiological systems using Matlab/Simulink, feedback control using Matlab/Simulink, real-time operating system concepts (uC/OS-II), peripheral interfacing via serial communications, graphical user interface design (GUI), algorithm development, and testing per requirements. Emphasis will be placed on researching and evaluating the requirements of a particular application, designing and implementing a computer-based system to meet those requirements, and testing the system per the requirements. Offered annually - fall term.
BIEN 237: Neuromotor Control (3 sem. hrs.)
This course will present an overview of current issues in neuromotor control and movement biomechanics. Special emphasis will be placed on the study of normal and impaired human movement. Topics to be covered will include: control theory, biomechanics of movement, muscle mechanics and modeling, neural circuitry, strategies for the neural control of movement (including a discussion of adaptation, motor learning and optimal control). Special attention will be paid to the application of engineering tools and techniques for the study and improvement of impaired motor function. Possible laboratory topics include: optimal filtering of EMG for control of prostheses and using embedded microcontrollers and/or realtime control of a pneumatically-actuated robotic manipulator. Offered occasionally.
Lab Example: Electromyographic (EMG) control of a powered prosthetic hand.
BIEN 241: Microprocessor Based Biomedical Instrumentation (3 sem. hrs.)
This course will discuss the application of microprocessors, microcontrollers, digital signal processors and distributed computing architectures to biomedical applications. The emphasis will be on evaluating the requirements of a particular application, and then evaluating the computing technologies, data architectures and software design patterns to satisfy the system requirements. The students will design, implement and validate at least three computer-based applications. Offered occasionally.
BIEN
289: Mechanisms and Models of Motor Learning (3 cr hrs.)
This course examines current literature pertaining to the neural mechanisms and computational models of motor control and motor learning. Particular emphasis will be placed on the design of experimental methods to challenge computational models that instantiate specific hypotheses. These include: Equilibrium point/trajectory hypotheses, impedance control, adaptive feedback and feedforward control mechanisms, and optimal control (with consideration of Bayesian integration of sensory information). Offered occasionally.
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© R.
Scheidt, 2001-2007.