Medical Devices Lab

Course: ESE3400

Catalog Level Description: With the demand for personalized medicine and health care, the need for consumer medical devices has risen. Traditionally devices have been designed from the ground up, but with more standardized components and software tools devices can be built to fulfill this need. This course will introduce design of medical devices. Students will learn the basics of sensors, signal conditioning, data acquisition and analysis, biopotential, biopotential electrodes, biomedical instrumentation, examples of biological signal measurement and electronics safety. This will be a lab based inquiry into medical device design.

• Utilize sensors to monitor biometric signals
• Design differential analog circuitry to acquire and condition biometric signal
• Employ circuitry to digitize and transmit data wirelessly via Bluetooth
• Build and populate a PCB given circuit schematic
• Extract biometrics (eg. Heart rate, respiration, etc.) from discrete-time signal
• Relate time-domain behaviour to frequency domain content of discrete time signals
• Implement simple digital filters

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  Rough Syllabus (by weeks)

  1. Introduction and review
  2. Biometric Signals
  3. Sensors
  4. Signal Conditioning (amplification and filtering)
  5. Analog-to-digital conversion
  6. Wireless communication
  7. PCB design project
  8. Disrete-time signal analysis
  9. Digital filter design
  10. Final demos and presentations

  See Fall 2023 course calendar for day-by-day calendar with assignments.

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  Main Reference Text

  • G. Baura, Medical Device Technologies: A Systems Based Overview Using Engineering Standards, Academic Press, 2020
  
  
  

  Additional Texts

  • A. V. Oppenheim and R. W. Schafer (with J. R. Buck), Discrete-Time Signal Processing. 3rd. Edition, Prentice-Hall, 2010
  • S. Sonkusale, M. S. Baghini, S. Aeron, Flexible Bioelectronics with Power Autonomous Sensing and Data Analytics, Springer, 2022
    
    

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  Grading

  Grading is based on homework assignments, midterm, and projects.
  • Quizzes [30%]
  • Lab participation/demos/writeups [30%]
  • Final demo/presentation [40%]

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  Policies

  Lecture/Lab Mask Policy

  Lecture will be in person only. Masks are recommended as needed to attend lecture and lab in person, and all students are responsible for bringing their own masks. N95/KN95 and Surgical masks are recommended. Any student coming to class without a mask will be asked to leave and only return with a mask.

  Absentees

  Use the Penn Course Absence Report (CAR) in Penn-in-Touch to report absences.

  Grade Adjustment

  Regrade requests must be submitted to the TA no later than 1 week after the assignment grades are released to the students. A cover sheet detailing the disrepency should be submitted with a copy of the original homework, and the TA reserves the right to regrade the entire assignment. Students are responsible for checking posted grades in a timely manner.

  There are no regrades on final exams and final projects.

  Collaboration

  You may help each other understand how to use the CETS computers and course CAD tools.

  Each student is expected to do his/her own work -- including developing the details, drawing circuits, performing simulations, and writing the solutions. For the homeworks and projects, you are free to discuss basic strategies and approaches with your fellow classmates or others, but detail designs, implementations, analysis, and writeups should always be the work of the individual. If you get advice or insights from others that influenced your work in any way, please acknowledge this in your writeups.

  In general, you are expected to abide by Penn's Code of Academic Integrity. If there is any uncertainty, please ask.

  Previous Offerings

  • Fall 2022

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