Research Themes

Active Sensing

Active Sensing

These projects involve assessments that require people to perform a particular task in order to learn something about their health.

Passive Sensing

Passive Sensing

These projects involve the use of sensors to detect digital health biomarkers without requiring direct involvement from the people being monitored.

Design

Design

These projects involve studying people's experiences as they interact with health-related technologies.


Ongoing Projects

Context-Aware Alarms

Context-Aware Alarms

Project Lead(s): Ian Ruffolo

Goal: To reduce alarm fatigue in hospitals, by using physiological sensor data combined with electronic health records to create smarter alarms.

Theme(s): Passive Sensing

Skill(s) Involved: Digital Signal Processing

Pre-Consultation Chatbots

Pre-Consultation Chatbots

Project Lead(s): Brenna Li

Goal: To leverage chatbots as a way of gathering background information before face-to-face interactions between doctors and patients.

Theme(s): Design

Skill(s) Involved: Interface Design, Qualitative Methods

Virtual Reality for Cognitive Exams

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

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

Earbud-Based Cardiac Assessment

Project Lead(s): Ken Christofferson

Goal: To assess heart health using audio transduced in the ear canal.

Theme(s): Active Sensing

Skill(s) Involved: Digital Signal Processing, Machine Learning

Supporting Menstrual Health Tracking

Supporting Menstrual Health Tracking

Project Lead(s): Blue Lin

Goal: To create accurate, inclusive, and accessible menstrual trackers through passive physiological monitoring and user-centered design.

Theme(s): Passive Sensing, Design

Skill(s) Involved: Interface Design, Statistics, Machine Learning, Qualitative Methods

Hyperspectral Retinal Imaging with Smartphones

Hyperspectral Retinal Imaging with Smartphones

Project Lead(s): Dhruv Verma

Goal: To transform the smartphone into a hyperspectral ophthalmoscope for screening cases of retinal hypoxia.

Theme(s): Active Sensing

Skill(s) Involved: Computer Vision, Hardware