Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
BackgroundDepression is a common, burdensome, often recurring mental health disorder that frequently goes undetected and untreated. Mobile phones are ubiquitous and have an increasingly large complement of sensors that can potentially be useful in monitoring behavioral patterns that might be indicat...
Saved in:
Main Authors: | Saeb, Sohrab (Author), Zhang, Mi (Author), Karr, Christopher J (Author), Schueller, Stephen M (Author), Corden, Marya E (Author), Kording, Konrad P (Author), Mohr, David C (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2015-07-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety
by: Saeb, Sohrab, et al.
Published: (2017) -
Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study
by: Jonah Meyerhoff, et al.
Published: (2021) -
Mobile Phone-Connected Wearable Motion Sensors to Assess Postoperative Mobilization
by: Appelboom, Geoff, et al.
Published: (2015) -
Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications
by: Shawen, Nicholas, et al.
Published: (2017) -
Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications
by: Shawen, Nicholas, et al.
Published: (2017)