Advanced Topics in mHealth
Course Information
| Instructor | Alex Mariakakis |
| Instructor Office Hours | By appointment via email |
| Teaching Assistant | Brenna Li |
| Course Time | Friday 1:00 PM – 3:00 PM |
| Course Location | BA 2179 |
Course Description
This course will examine the growing prominence of mobile health over the past twenty years. After briefly discussing various definitions of mobile health, we will focus our attention on how people are using the sensors embedded in ubiquitous and novel devices to capture indicators of physical and mental health. More specifically, we will study how sensors can be used to measure physiological signals, psychomotor function, and disease-specific symptoms. We will also explore how human factors play an important role in these technologies. This course requires an undergraduate-level understanding of machine learning and programming, although familiarity with computer vision, signal processing, and human-computer interaction will also be beneficial. Beyond weekly readings and an in-class presentation, students will be expected to complete and present a course project at the end of the term.