BME 120 Quantitative Physiology: Sensory Motor Systems (2012-2013)

BME 120 Quantitative Physiology: Sensory Motor Systems

(Required for BME and BMEP. Selected 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 BME 220. (Design units: 2)

Required Textbook:
. Edition, , 1969, ISBN-13 978-3540296034.

Recommended Textbook:
None
References:

Supplemental readings will be placed at the engineering copy center ET 203 and on the course website at: http://eee.uci.edu/.

Coordinator:
David J. Reinkensmeyer
Relationship to Student Outcomes
This course relates to Student Outcomes: EAC a, EAC c, EAC e, EAC f, EAC g, EAC h, EAC i, EAC j, EAC k.
Course Learning Outcomes. Students will:

1. Understand relevant anatomies of the nervous and musculoskeletal systems. (EAC a)

2. Apply engineering models and mathematics to understand human physiology. (EAC a, EAC k)

3. Design devices for enhancing human function. (EAC a, EAC c, EAC e, EAC f, EAC g, EAC h, EAC i, EAC j, EAC k)

Prerequisites by Topic

Freshman-level differential equations

Lecture Topics:
  • 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.

Computer Usage:

Students will use Microsoft Word and Excel to prepare Problem-Based Learning (PBL) reports and CAD tools to simulate neural circuits.

Laboratory Projects:

One Computer laboratory on the modeling of neural circuits.

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: 20%
  • PBL reports: 20%
  • Midterm exam: 20%
  • Final exam: 40%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 4.0 credit units

Engineering Science: 2.0 credit units

Engineering Design: 2.0 credit units

Prepared:
February 6, 2012
Senate Approved:
March 5, 2002
Approved Effective:
2002 Fall Qtr