BME 3030

BME 3030

Course information provided by the Courses of Study 2023-2024. Courses of Study 2023-2024 is scheduled to publish mid-June.

This course will cover the mathematical foundation to analyze signals and model the behavior of biomedical systems in the time and frequency domains, and help students develop the mindset and skills necessary to produce high-quality measurements of a physiological or biological variable. Labs involving the design and construction of biomedical circuits to quantify a physiological or biological function will foster a broad perspective on biological and biomedical measurement, and provide practical application of linear systems theory and measurement principles covered in lectures.

When Offered Fall.

Permission Note Enrollment preference given to: BME majors. 
Prerequisites/Corequisites Prerequisite: MATH 2930 and PHYS 2213 or equivalent. Corequisite: MATH 2940 

Outcomes
  • Identify variables that could be measured to quantify a physiological function, then design and defend an approach to measure those variables.
  • Design and analyze the behavior of circuits with appropriate sensors, filters, and amplifiers for measuring those variables.
  • Construct and empirically optimize circuits from these designs so that they are operational with minimal noise and meet experimental needs.
  • Acquire high quality data on the variable with appropriate controls and calibrations, while identifying and minimizing systematic bias and random noise.
  • Design and implement appropriate signal and image processing approaches for the measured variables and analyze these data to characterize the physiological function.
  • Conceive of and conduct an experimental plan to test a hypothesis about the physiological function using the measurement and analysis tools developed.
  • Analyze data acquired in a thoughtful and statistically relevant way to test the hypothesis.
  • Produce high quality oral presentations and writing that present experimental approach and findings.
  • Develop strategies to acquire, consolidate, and use new information to meet challenges.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture, one discussion, and one laboratory.

  • 5 Credits Graded

  •  7703 BME 3030   LEC 001

    • TR Weill Hall 226
    • Aug 21 - Dec 4, 2023
    • Adie, S

      Schaffer, C

  • Instruction Mode: In Person

  • 11576 BME 3030   DIS 201

    • F Upson Hall 142
    • Aug 21 - Dec 4, 2023
    • Adie, S

      Schaffer, C

  • Instruction Mode: In Person

  •  7704 BME 3030   LAB 401

    • M
    • Aug 21 - Dec 4, 2023
    • Adie, S

      Schaffer, C

  • Instruction Mode: In Person

  •  7779 BME 3030   LAB 402

    • T
    • Aug 21 - Dec 4, 2023
    • Adie, S

      Schaffer, C

  • Instruction Mode: In Person

  • 11540 BME 3030   LAB 403

    • W
    • Aug 21 - Dec 4, 2023
    • Adie, S

      Schaffer, C

  • Instruction Mode: In Person