Feb 08, 2023  
2021-2022 Undergraduate Academic Catalog 
    
2021-2022 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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BE 4705 - Biomedical Electronics and Instrumentation II

3 lecture hours 2 lab hours 4 credits
Course Description
This course introduces the production and distribution of biological signals, such as the ECG, EMG or EEG, and the electrodes and sensitive amplifiers needed to record them. Methods for reducing electrical noise and interference in the signals and conversion between analog and digital forms are included. Electronic feedback principles are applied to enhance system performance. (prereq: BE 3705 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Quantitatively predict electrical field distribution for simple geometries in a 3-dimensional body
  • Design, construct and test prototype circuits to detect and process electrical signals produced by the body
  • Account for the electrical behavior of electrodes in recording biopotentials
  • Recognize and mitigate the interference and noise in recording biological signals
  • Convert signals between digital and analog forms
  • Employ circuit simulation in the analysis and design of medical instrumentation

Prerequisites by Topic
  • Electronics: op amps
  • Physiology of nerves, muscles, and the respiratory system
  • Circuit simulation using Pspice or Multisim
  • Chemistry

Course Topics
  • Biopotentials and the electrical behavior of biopotential electrodes
  • Voltage and current distribution in tissue from point, cylindrical and flat surfaces
  • ECG amplifier design
  • DC offset, common mode and high frequency interference in biopotential amplifier design and recording
  • Intrinsic noise: primarily thermal and 1/f noise in low level amplifiers
  • Analog to digital and digital to analog conversion

Laboratory Topics
  • Electrical Interference Investigation
  • Measurement of current and voltage in biological media
  • ECG amplifier design project
  • Intrinsic noise investigation
  • Analog to digital and digital to analog conversion
  • Biological signal processing: Alpha wave detector

Coordinator
Dr. Icaro dos Santos



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