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Unformatted text preview: BME 120 QUANTITATIVE PHYSIOLOGY: SENSORY MOTOR SYSTEMS (Required for BME and BMEP; Elective for MSE) Catalog Data: BME 120 Quantitative Physiology: Sensory Motor Systems (Credit Units: 4) A quantitative and systems approach to understanding physiological systems. Systems covered include the nervous and musculoskeletal systems. Prerequisite: Mathematics 3D or equivalent, or consent of instructor. Concurrent with BME220. (Design units: 2) Herman, Irving, Physics of the Human Body, 1st edition/2nd printing, 2008, Springer, ISBN# 978-3-540-29603-4 Supplemental readings will be placed at the engineering copy center ET 203 and on the course website at: David Reinkensmeyer Textbook: References: Coordinator: Relationship to Program Outcomes: This course relates to the program outcomes for BME: a, c, e, f, g, h, i, j and k as stated at: Course Outcomes / Performance Criteria: Students will: Understand relevant anatomies of the nervous and musculoskeletal systems (BME a) Apply engineering models and mathematics to understand human physiology (BME a, k) Design devices for enhancing human function (BME a, c, e, f, g, h, i, j, k) Prerequisites By Topic: Lecture Topics: Freshman-level differential equations Muscle Neurons (as cables and computers) Motor systems (emphasis on arm movement control) Sensory systems (emphasis on auditory system) Basic dynamics/mechanical circuits (spring, mass dashpot) First and second order linear differential equations Electrical circuits Nonlinear equations and simulation Ion transport Signal processing frequency analysis and filters Control theory feedforward, feedback, impedance control, Black's formula Biomechanical modeling of movement control and surgery Functional electrical stimulation systems Rehabilitation robotics Biomimetic devices (e.g. robotic insects) Neuroprostheses (e.g. cochlear implants) Brain computer interfaces Class Schedule: Meets for 3 hours of lecture and 1 hour of discussion each week for 10 weeks. Students will use Microsoft Word and Excel to prepare Problem-Based Learning (PBL) reports and CAD tools to simulate neural circuits. One Computer laboratory on the modeling of neural circuits. Computer Usage: Laboratory Projects: Professional Component: Contributes toward Biomedical Engineering Topics and Major Design experience. Design Content Description Approach: Student will use PBL skills to analyze and design systems to simulate neural and musculoskeletal systems. (50%) Specific discussions on neural and musculoskeletal system analyses and designs. (40%) Lectures: 90% Laboratory Portion: 10% Grading Criteria: Homework: PBL reports: Midterm exam: Final exam: 20% 20% 20% 40% 100% Estimated ABET Category Content: Mathematics and Basic Science: ___0 credit units or ___0% Engineering Science: ___2 credit units or ___50% Engineering Design: ___2 credit units or ___50% Prepared by: David Reinkensmeyer CEP Approved: Fall 2002 Date: July 2009 ...
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This note was uploaded on 05/08/2010 for the course BME 120 taught by Professor Staff during the Spring '08 term at UC Irvine.

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