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Related Concept Videos

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Updated: May 30, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

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Published on: February 3, 2022

Harnessing context sensing to develop a mobile intervention for depression.

Michelle Nicole Burns1, Mark Begale, Jennifer Duffecy

  • 1Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States.

Journal of Medical Internet Research
|August 16, 2011
PubMed
Summary
This summary is machine-generated.

This study shows Mobilyze!, a mobile intervention, is a feasible and effective tool for treating major depressive disorder. Patients using this digital health tool experienced significant symptom reduction and improved mental well-being.

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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Published on: July 27, 2018

Area of Science:

  • Digital health interventions
  • Mobile sensing technology
  • Mental health treatment

Background:

  • Mobile phone sensors offer potential for context-aware systems and ecological momentary interventions.
  • Previous research has not explored these technologies for treating major depressive disorder.

Purpose of the Study:

  • To assess the technical feasibility, functional reliability, and patient satisfaction of Mobilyze!.
  • Mobilyze! is a mobile and internet-based intervention incorporating ecological momentary intervention and context sensing.

Main Methods:

  • Developed a mobile app using machine learning to predict patient states (mood, context) from sensor data.
  • Included a website with behavioral activation tools and clinician support via phone/email.
  • Conducted an 8-week pilot study with 8 adults diagnosed with major depressive disorder.

Main Results:

  • Machine learning models achieved 60-91% accuracy in predicting categorical context but struggled with mood prediction.
  • Participants reported high satisfaction and significant reductions in depressive and anxiety symptoms.
  • 85.71% of participants achieved remission from major depressive disorder criteria.

Conclusions:

  • Mobilyze! demonstrates scalability, feasibility, and preliminary efficacy for treating major depressive disorder.
  • This represents a novel application of ecological momentary intervention and context sensing for mental health.
  • The study provides insights into technical, data mining, and software development for digital mental health tools.