Session 1

Session 2

Wearable Technology and Bio-Signals

Where Health and Technology Work Together

Wearable devices are very popular and recently they have been used widely to collect bio-signals continuously. Wearable technology can potentially provide advanced diagnostic and therapeutic capabilities such as cardiovascular disease detection and fitness monitoring. In this course you will learn more about bio-signals and bio sensors and how wearable technology utilize them for health monitoring which is crucially important for next generation autonomous diagnostic, therapeutic, and assistive health tools.


This course provides the student with an understanding of the origin, function, and measurement of Bio-signals within human body. During this course students learn how the most important bio-signals in the body including heart, muscle, and brain activity are generated and measured. This program also provides opportunities for students to learn the process of designing experiments for measuring bio signals with a series of lab activities. Students will also gain knowledge on how wearable technology could be utilized to track bio signals for health monitoring.

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Planned Topics

Course topics include:

  • Different types of Bio-signals
  • Bio-potentials¬†
  • Muscle electrical activity or Electromyogram (EMG)
  • Heart electrical activity or Electrocardiogram (ECG)
  • Brain electrical activity or Electroencephalogram (EEG)
  • Bio-sensors in Wearable Technology
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Seyedeh Fatemeh Khatami Firoozabadi
Faculty Lead
Seyedeh Fatemeh Khatami Firoozabadi

Assistant Professor | Bioengineering Department | School of Engineering and Computer Science

Post-doctoral, University of California San Francisco (UCSF), 2017-2019
Ph.D in Biomedical Engineering, University of Connecticut, 2017

Professor Khatami Firoozabadi has PhD in Biomedical Engineering with focus on neuroscience and algorithm development. She is highly experienced in bio signal processing, data analysis, and machine learning.

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