Advanced Topics in mHealth

Course Information

Instructor Alex Mariakakis
Instructor Office Hours By appointment via email
Teaching Assistant Brenna Li
Course Time Thursday 3:00 PM – 5:00 PM
Course Location BA B025

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.

Schedule

Date Details Project Deliverable
Thu Sep 14, 2023 Course Introduction
Thu Sep 21, 2023 Mobility
Thu Sep 28, 2023 Body Motion
Proposal
Thu Oct 05, 2023 Sleep
Thu Oct 12, 2023 Circulatory Vital Signs
Thu Oct 19, 2023 Respiratory Health
Thu Oct 26, 2023 Influenza-Like Illness
Thu Nov 02, 2023 Reading Week
Thu Nov 09, 2023 Cameras
Progress Report
Thu Nov 16, 2023 Mental Health
Thu Nov 23, 2023 Just-In-Time Interventions
Thu Nov 30, 2023 Commentaries on Mobile Health
Thu Dec 07, 2023 Project Presentations
Final Presentation
Thu Dec 14, 2023 Final Reports
Final Report