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Table of Contents
Intro
Preface
Contents
About the Editors
Involving End Users in Risk-Based Co-design
1 Introduction
2 A New Approach to Integrated Care Pathways
3 Technologies to Lower the Gap and Foster the Adoption of mHealth Technologies
4 Co-design to Foster the Adoption of mHealth Technologies
4.1 Patient Engagement
4.2 Physician Engagement
4.3 How to Involve Users
5 Impact of Co-design
6 Conclusion
References
Phygital Mental Health: Opportunities and Challenges
1 Introduction
2 Phygital Convergences and Interactions
3 The Potential of Phygital Experiences for Enhancing Mental Health
3.1 Mental Health Promotion and Illness Prevention
3.2 Early Detection and Diagnostics
3.3 Accessibility and Inclusion
3.4 A Potential Scenario: From Virtual to Phygital Applications in Dementia
4 Conclusion
References
Data Uncertainty and m-Health Interaction Design for Aging People
1 Introduction
2 Measurement Through Wearable Technologies
3 Aging People Experience and Informative Needs
4 Application of m-health Technology: Use Case of the Resilient AAL Project
5 The Problem of the Measurement Uncertainty
5.1 Applied Methodology
5.2 Predictive Models: Monte Carlo Simulation on Step Data
6 Conclusion
References
Digital Twins and Healthcare: Quick Overview and Human-Centric Perspectives
1 Introduction
2 Digital Twins
3 Healthcare Applications
3.1 Digital Twins for Health
3.2 An Exemplary Domain: mHealth
4 Human-Centric Perspectives
4.1 Beyond Digital Twins: Phygital Twins
4.2 Ethical Issues in Twinning for Health
5 Conclusion
References
MHealth for Well-Being: Case Studies in Physiological, Cognitive, and Affective Sensing
1 Introduction
2 Challenges in Mobile Mental Health
2.1 Sensing and Assessment
2.2 Design and Engagement
2.3 Interventions-Identification, Contextualization, and Digitization
2.4 Data Privacy and the Security versus Usability Trade-Off
2.5 Digital Platform for Data Management
2.6 Ethics and Safety
2.7 Validation/Trials and Long Cycle Time to Market
2.8 Adoption by Practitioner Community
3 Case Study I-A Mobile Stress Management Solution
3.1 Sensing Stress and Emotions
3.2 Interventions for Stress Management
3.3 Design Strategies
3.4 Privacy and Security Strategies
3.5 Data Management Platform
3.6 Validation and Pilot Studies
4 Case Study II-A Cognitive Analysis Application
4.1 Importance of Cognitive Analysis in Mental Health
4.2 Cognitive Factors
4.3 Reflection in Physiology
4.4 Standard Measurement/Assessment Methods
4.5 Wearable-Based Methods
5 Conclusions
References
Design Considerations of Mobile Applications for Healthy Living
1 Introduction
2 Mobile Health Applications for Different Purposes
Preface
Contents
About the Editors
Involving End Users in Risk-Based Co-design
1 Introduction
2 A New Approach to Integrated Care Pathways
3 Technologies to Lower the Gap and Foster the Adoption of mHealth Technologies
4 Co-design to Foster the Adoption of mHealth Technologies
4.1 Patient Engagement
4.2 Physician Engagement
4.3 How to Involve Users
5 Impact of Co-design
6 Conclusion
References
Phygital Mental Health: Opportunities and Challenges
1 Introduction
2 Phygital Convergences and Interactions
3 The Potential of Phygital Experiences for Enhancing Mental Health
3.1 Mental Health Promotion and Illness Prevention
3.2 Early Detection and Diagnostics
3.3 Accessibility and Inclusion
3.4 A Potential Scenario: From Virtual to Phygital Applications in Dementia
4 Conclusion
References
Data Uncertainty and m-Health Interaction Design for Aging People
1 Introduction
2 Measurement Through Wearable Technologies
3 Aging People Experience and Informative Needs
4 Application of m-health Technology: Use Case of the Resilient AAL Project
5 The Problem of the Measurement Uncertainty
5.1 Applied Methodology
5.2 Predictive Models: Monte Carlo Simulation on Step Data
6 Conclusion
References
Digital Twins and Healthcare: Quick Overview and Human-Centric Perspectives
1 Introduction
2 Digital Twins
3 Healthcare Applications
3.1 Digital Twins for Health
3.2 An Exemplary Domain: mHealth
4 Human-Centric Perspectives
4.1 Beyond Digital Twins: Phygital Twins
4.2 Ethical Issues in Twinning for Health
5 Conclusion
References
MHealth for Well-Being: Case Studies in Physiological, Cognitive, and Affective Sensing
1 Introduction
2 Challenges in Mobile Mental Health
2.1 Sensing and Assessment
2.2 Design and Engagement
2.3 Interventions-Identification, Contextualization, and Digitization
2.4 Data Privacy and the Security versus Usability Trade-Off
2.5 Digital Platform for Data Management
2.6 Ethics and Safety
2.7 Validation/Trials and Long Cycle Time to Market
2.8 Adoption by Practitioner Community
3 Case Study I-A Mobile Stress Management Solution
3.1 Sensing Stress and Emotions
3.2 Interventions for Stress Management
3.3 Design Strategies
3.4 Privacy and Security Strategies
3.5 Data Management Platform
3.6 Validation and Pilot Studies
4 Case Study II-A Cognitive Analysis Application
4.1 Importance of Cognitive Analysis in Mental Health
4.2 Cognitive Factors
4.3 Reflection in Physiology
4.4 Standard Measurement/Assessment Methods
4.5 Wearable-Based Methods
5 Conclusions
References
Design Considerations of Mobile Applications for Healthy Living
1 Introduction
2 Mobile Health Applications for Different Purposes