Mobile health : sensors, analytic methods, and applications /: sensors, analytic methods, and applications. (2017)

• Record Type: Book
• Further Information: Note: James M. Rehg, Susan A. Murphy, Santosh Kumar, editors ; foreword by Deborah Estrin.
• Editors: Rehg, James M; Murphy, Susan A; Kumar, Santosh
• Contents: Foreword; Preface; Introduction to the Book; Acknowledgements; Contents; List of Figures; List of Tables; Part I mHealth Applications and Tools; Introduction to Part I: mHealth Applications and Tools; StudentLife: Using Smartphones to Assess Mental Health and Academic Performance of College Students; Introduction; Related Work; Study Design; Participants; Study Procedure; Compliance and Data Quality; StudentLife App and Sensing System; Automatic and Continuous Sensing; MobileEMA; StudentLife Dataset; Results; Correlation with Mental Health; Predicting Academic Performance. Dartmouth Term LifecycleConclusion; References; Circadian Computing: Sensing, Modeling, and Maintaining Biological Rhythms; Introduction; Background; A More Complex Sleep Model; Circadian Disruption and Mental Health; Measuring Circadian Rhythms and Disruptions; Biological Markers; Biophysiological Monitoring; Self-Report Instruments; Mental Health Care; Mobile Sensing; Automatically Assessing Stability in Bipolar Disorder; Applications of Circadian Computing; Cognitive and Physical Performance; Scheduling and Activity Management; Learning and Education; Accident Prevention. Therapy and Well-BeingDiagnostic Tests and Medication; Mental Health; Fixing a Broken Clock: Sleep and Circadian Interventions; Conclusion; References; Design Lessons from a Micro-Randomized Pilot Study in MobileHealth; Introduction; The Heartsteps Study; The HeartSteps System and Study Design; Study Eligibility and Recruitment; Challenges Encountered and Lessons Learned, Across Four Domains; Study Recruitment; Demographic Difficulties; Technical Challenges in Recruitment; Recruitment Lessons Learned; Technical Setup; An Overview of the HeartSteps System Architecture. Advantages and Disadvantages of the HeartSteps Pilot ArchitectureOperating System Update Challenges; Testing (and More Testing ...); Technical Lessons Learned; Treatment Delivery; Broadening the Definition of Unavailability; Considerations of Time in HeartSteps; Treatment Lessons Learned; Participant Experiences and Reflections; Use of Other Applications; Reflections on Tailoring; Participant Lessons Learned; Conclusion; References; The Use of Asset-Based Community Development in a Research Project Aimed at Developing mHealth Technologies for Older Adults; Introduction; The ABCD Framework. Results of Using ABCDLessons Learned; If We Had to Do It Over, What Would We Do Differently?; Conclusion; References; Designing Mobile Health Technologies for Self-Monitoring: The Bite Counter as a Case Study; Key Questions for mHealth Technologies; The Need for an mHealth Technology to Monitor Intake: The Bite Counter as a Case Study; Phase I: Assess the Current State of Measuring the Behavior of Interest; Performance of Experts Measuring Intake Behavior; Performance of Novices Measuring Intake Behavior; Phase II: Imagine What Might be Measured Given the Design Criteria.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Extent: 1 online resource, illustrations (some color)
• Subjects: 610.285; Computer science; Wireless communication systems in medical care; Medical informatics; Telemedicine; Wireless Technology; HEALTH & FITNESS -- Holism; HEALTH & FITNESS -- Reference; MEDICAL -- Alternative Medicine; MEDICAL -- Atlases; MEDICAL -- Essays; MEDICAL -- Family & General Practice; MEDICAL -- Holistic Medicine; MEDICAL -- Osteopathy; Medical informatics; Wireless communication systems in medical care; Computer Science; Health Informatics; Artificial Intelligence (incl. Robotics); Statistics for Life Sciences, Medicine, Health Sciences; Data Mining and Knowledge Discovery; Computer Communication Networks; Computers -- Intelligence (AI) & Semantics; Medical -- Biostatistics; Computers -- Database Management -- Data Mining; Medical -- General; Computers -- Hardware -- Network Hardware; Artificial intelligence; Probability & statistics; Data mining; Medical equipment & techniques; Network hardware; Medical records -- Data processing; Artificial intelligence; Statistics; Data mining; Computer Communication Networks; Health & safety aspects of IT; Electronic books; Electronic book
• Languages: English
• ISBNs: 9783319513942
• Related ISBNs: 331951394X; 9783319513935; 3319513931
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed July 24, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.