Research Themes
Active Sensing
These projects involve assessments that require people to perform a particular task in order to learn something about their health.
Passive Sensing
These projects involve the use of sensors to detect digital health biomarkers without requiring direct involvement from the people being monitored.
Design
These projects involve studying people's experiences as they interact with health-related technologies.
Ongoing Projects
Clinical Bedside Alarms
Project Lead(s): Ian Ruffolo
Goal: To improve the accuracy of clinical alarms using machine learning on multimodal non-invasive signals.
Theme(s): Passive Sensing
Skill(s) Involved: Digital Signal Processing
Virtual Reality for Cognitive Exams
Project Lead(s): Andrii Lenyshyn
Goal: To improve upon traditional paper-based cognitive assessments like the Flanker test with virtual reality.
Theme(s): Active Sensing
Skill(s) Involved: Interface Design, Statistics
Respiratory Assessments Through Speech Analysis
Project Lead(s): Sejal Bhalla, Salaar Liaqat
Goal: To identify symptoms related to chronic obstructive pulmonary disease (COPD) in speech extracted from continuously recorded smartwatch audio.
Theme(s): Passive Sensing
Skill(s) Involved: Digital Signal Processing, Statistics, Machine Learning
Earbud-Based Cardiac Assessment
Project Lead(s): Ken Christofferson, Thomas Kleinknecht
Goal: To assess heart health using audio transduced in the ear canal.
Theme(s): Active Sensing
Skill(s) Involved: Digital Signal Processing, Machine Learning
Hyperspectral Imaging with Smartphones
Project Lead(s): Dhruv Verma
Goal: To transform the smartphone into a hyperspectral camera that enables more precise color measurement.
Theme(s): Active Sensing
Skill(s) Involved: Computer Vision, Hardware