New mHealth course bridges Preventive Medicine and Computer Science
https://news.northwestern.edu/stories/2017/march/new-medical-tech-projects-produced-in-engineering-course/
http://btn.com/2017/03/20/how-a-northwestern-course-gets-engineering-students-to-think-medically-btn-livebig/
February 2017
Best Paper Award at IEEE PerCom: WristSense, 2017
UStress: Understanding College Student Subjective Stress Using Wrist-Based Passive Sensing
February 2017
Rawan Alharbi Presents at IEEE PerCom
Investigating Barriers and Facilitators to Wearable Adherence in Fine-Grained Eating Detection
February 2017
Dzung Nguyen Presents at IEEE PerCom, 2017
SwallowNet: Recurrent Neural Network detects and characterized eating patterns
February 2017
JAMA Article Published
First Steps Into the Brave New Transdiscipline of Mobile Health
Full article at: http://jamanetwork.com/journals/jamacardiology/fullarticle/2592964
February 2017
Paper accepted at IEEE Percom 2016
UStress: Understanding College Student Subjective Stress Using Wrist-Based Passive Sensing
DeepSwallows: Recurrent Neural Network Detects and Characterizes Eating Patterns
Investigating Barriers and Facilitators to Wearable Adherence in Fine-Grained Eating Detection
December 2016
Best Paper Award at BODYNETS 2016
Food Watch: Detecting and Characterizing Eating Episodes through Feeding Gestures
December 2016
Papers accepted at BODYNETS 2016
Food Watch: Detecting and Characterizing Eating Episodes through Feeding Gestures
SmartNecklace: Designing a Wearable Multi-sensor System for Smart Eating Detection
November 2016
Paper accepted at ACM Wireless Health
Using a Mixed-Effects Location Scale Model to Examine Factors That Influence Overeating Behaviors Among College Students
September 2016
Our paper is an Award Winner for The Obesity Society’s (TOS) eHealth/mHealth Section (EMS)
Random Forest detects eating in a neck-worn sensor: Results from a Simulated Real-Life Eating Setting.
September 2016
Accepted papers at The Obesity Society (TOS)
Improved conceptual models of engagement in an mHealth intervention application.
Random Forests detects eating in a neck-worn sensor: Results from a Simulated Real-Life Eating Setting.
Machine Learning algorithms applied to detect feeding gestures
August 2016
Accepted paper at IEEE International Conference on Healthcare Informatics (ICHI)
An Iterative Dimensionality-Scaling System for Real-Time Health Monitoring Applications
July 2016
Accepted paper at IEEE Journal of Biomedical Health Informatics (JBHI)
Remote Health Monitoring Outcome Success Prediction Using Baseline and First Month Intervention Data
April 2016
Smart Necklace Analyzes What Goes Down Your Throat
Mobile Health Study Uses Fitness App to Help At-Risk Women
UCLA-backed m-health project aids at-risk women using fitness app