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Mobile Health

Overview of attention for book
Cover of 'Mobile Health'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Part I: mHealth Applications and Tools
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    Chapter 2 StudentLife: Using Smartphones to Assess Mental Health and Academic Performance of College Students
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    Chapter 3 Circadian Computing: Sensing, Modeling, and Maintaining Biological Rhythms
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    Chapter 4 Design Lessons from a Micro-Randomized Pilot Study in Mobile Health
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    Chapter 5 The Use of Asset-Based Community Development in a Research Project Aimed at Developing mHealth Technologies for Older Adults
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    Chapter 6 Designing Mobile Health Technologies for Self-Monitoring: The Bite Counter as a Case Study
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    Chapter 7 mDebugger: Assessing and Diagnosing the Fidelity and Yield of Mobile Sensor Data
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    Chapter 8 Introduction to Part II: Sensors to mHealth Markers
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    Chapter 9 Challenges and Opportunities in Automated Detection of Eating Activity
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    Chapter 10 Detecting Eating and Smoking Behaviors Using Smartwatches
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    Chapter 11 Wearable Motion Sensing Devices and Algorithms for Precise Healthcare Diagnostics and Guidance
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    Chapter 12 Paralinguistic Analysis of Children’s Speech in Natural Environments
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    Chapter 13 Pulmonary Monitoring Using Smartphones
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    Chapter 14 Wearable Sensing of Left Ventricular Function
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    Chapter 15 A New Direction for Biosensing: RF Sensors for Monitoring Cardio-Pulmonary Function
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    Chapter 16 Wearable Optical Sensors
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    Chapter 17 Introduction to Part III: Markers to mHealth Predictors
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    Chapter 18 Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities
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    Chapter 19 Learning Continuous-Time Hidden Markov Models for Event Data
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    Chapter 20 Time Series Feature Learning with Applications to Health Care
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    Chapter 21 From Markers to Interventions: The Case of Just-in-Time Stress Intervention
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    Chapter 22 Introduction to Part IV: Predictors to mHealth Interventions
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    Chapter 23 Modeling Opportunities in mHealth Cyber-Physical Systems
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    Chapter 24 Control Systems Engineering for Optimizing Behavioral mHealth Interventions
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    Chapter 25 From Ads to Interventions: Contextual Bandits in Mobile Health
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    Chapter 26 Towards Health Recommendation Systems: An Approach for Providing Automated Personalized Health Feedback from Mobile Data
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Title
Mobile Health
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-51394-2
ISBNs
978-3-31-951393-5, 978-3-31-951394-2
Editors

James M. Rehg, Susan A. Murphy, Santosh Kumar

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X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 309 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 10%
Student > Master 15 5%
Researcher 15 5%
Student > Doctoral Student 8 3%
Student > Bachelor 6 2%
Other 16 5%
Unknown 219 71%
Readers by discipline Count As %
Computer Science 25 8%
Engineering 17 6%
Psychology 14 5%
Social Sciences 8 3%
Medicine and Dentistry 3 <1%
Other 20 6%
Unknown 222 72%