Quantifying Quality of Life : : Incorporating Daily Life into Medicine.

• Superior document: Health Informatics Series
• Author: Wac, Katarzyna.
• TeilnehmendeR: Wulfovich, Sharon.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2022.; ©2022.
• Year of Publication: 2022
• Edition: 1st ed.
• Language: English
• Series: Health Informatics Series
• Physical Description: 1 online resource (596 pages)

Table of Contents

• Intro
• Acknowledgements
• Contents
• Part I: Introduction
• Chapter 1: Unfolding the Quantification of Quality of Life
• Introduction
• The WHOQOL Instrument
• Learning from the 'Quantified-Self' Community
• The Quantified-Self Movement
• The Quantified-Self Community
• Methods
• Results
• One-Dimensional Presentation of Data and Findings
• Two-Dimensional Presentation of Data and Findings
• Discussion
• Limitations
• Concluding Remarks on Self-Tracking and Quality of Life
• Future Outlook: Importance of Improving Quality of Life Quantification
• Appendices
• Appendix 1
• Appendix 2
• References
• Part II: Physical Health
• Chapter 2: Assessing Activity of Daily Living through Technology-Enabled Tools: Mobility and Nutrition Assessment: MiranaBot: A Nutrition Assessment Use Case
• Introduction
• State of the Art
• Activities of Daily Living (ADLs)
• Validated Scales for ADLs
• Technology-Enabled Tools to Assess Indoor-Outdoor Mobility
• Activity Recognition
• Wireless Indoor-Outdoor Positioning Systems
• Technology-Enabled Tools to Assess Nutrition
• Use Case: Nutrition Assessment
• Methodology
• Factors Influencing Nutrition Self-Management
• Barriers to Healthy Nutrition
• Needs and Requirements
• Summary
• MiranaBot: Behavior Change Theory and Techniques in Action
• Self-Monitoring
• Personalized Visual Feedback
• Goal Setting
• Self-Awareness
• Personalized Education
• MiranaBot: Components and Functionalities
• Speech to Text Module
• Text Analysis Module
• Natural Conversation Module
• Graphical User Interface
• Conclusions
• References
• Chapter 3: Monitoring Technologies for Quantifying Medication Adherence
• Introduction
• Background
• Medication Adherence
• Medication Adherence Monitoring
• Why Technology-Based Solutions?
• Related Work.
• A Review of Medication Adherence Monitoring Systems
• Sensor-Based Systems
• Smart Pill Containers
• Wearable Sensors
• Ingestible Biosensors
• Proximity Sensing
• Vision-Based Systems
• Fusion-Based Systems
• Proximity-Sensor Systems
• Proximity-Visual Systems
• Visual-Sensor Systems
• Sensor-App Systems
• Challenges and Future Trends
• Challenges
• System Accuracy and Data Fidelity
• Energy Consumption and Lifetime
• Acceptability and User's Comfort
• Tampering, Authentication, and Active Non-Compliance
• Future Trends
• Conclusions
• References
• Chapter 4: Quantifying Energy and Fatigue: Classification and Assessment of Energy and Fatigue Using Subjective, Objective, and Mixed Methods towards Health and Quality of Life
• Introduction
• Methods
• Results
• Energy and Fatigue Classification
• Pathological Fatigue
• Physical Fatigue
• Neurological Fatigue
• Non-Neurological Fatigue
• Mental Fatigue
• Non-pathological Fatigue
• Physical Fatigue
• Mental Fatigue
• Factors Influencing Fatigue
• Energy and Fatigue Measures
• Subjective Measures
• Scale Instruments
• Momentary Assessments
• Objective Fatigue and Energy Measures
• Physical Assessment
• Cognitive Assessment
• Cardiac Physiology
• Ocular Physiology
• Neural Physiology
• Biologic Markers
• Behavioural Markers
• Mixed Methods
• Property Spectrums of Energy and Fatigue Measures
• Discussion
• Key Findings
• Limitations
• Opportunities
• Conclusive Remarks
• References
• Chapter 5: Quantifying Mobility in Quality of Life
• What Is Mobility?
• What Is QOL?
• Is Mobility Important for QoL?
• What Do People Say?
• What Do the Data Say about the QoL of the Body
• Using Mobility to Quantify QoL
• What Mobility Parameters Can Be Monitored Via Technologies?
• Mapping the Future
• References.
• Chapter 6: iSenseYourPain: Ubiquitous Chronic Pain Evaluation through Behavior-Change Analysis
• Introduction
• Self-Reported Pain and Chronic Pain Assessment
• Pain Detection Using Smart Devices
• iSenseYourPain: System Criteria and Design Choices
• Data Sources and Collection
• Data Analysis and Modeling
• Conclusions
• References
• Chapter 7: Technologies for Quantifying Sleep: Improved Quality of Life or Overwhelming Gadgets?
• The Importance of Sleep
• Why Are Existing Methods Not Adequate?
• Methods and Tools for Objective and Quantitative Assessment of Daily Sleep
• Benefits, Limitations, and Potential Pitfalls
• References
• Chapter 8: Improving Work Capacity and HRQoL: The Role of QoL Technologies
• Introduction
• Definition and Measurement of Work Capacity
• Research Studies on Variations in Work Capacity and QoL
• The State-of-Art of Personalized Computing QoL Technologies for Measuring Physical Activity
• Types of Wearable Activity Trackers and Other Devices
• Evidence for the Use and Effectiveness of Activity Trackers
• Validity and Reliability of Fitness Trackers for Measuring Physical Activity
• From Activity Trackers to Quantified Work Capacity
• Strategies to Improve Work Capacity Using Behavioral Change Techniques and QoLT Interventions
• Use of Digital Fitness Devices and Behavioral Change Management Techniques
• Challenges Using Quality of Life Technologies in the Improvement of Work Capacity
• Discussion and Recommendations
• References
• Part III: Psychological Health
• Chapter 9: Quantifying the Body: Body Image, Body Awareness and Self-Tracking Technologies
• Introduction
• The Self and the Body
• Body Constructs
• Body Schema, Body Image, and Self-Tracking
• Body Schema
• Body Image
• Self-Tracking
• Body Awareness and Self-Tracking
• Body Awareness
• Self-Tracking.
• Self-Tracking and Sport
• Method
• Findings
• Discussion
• Beyond the Athletes
• Conclusion
• References
• Chapter 10: Your Smartphone Knows you Better than you May Think: Emotional Assessment 'on the Go' Via TapSense
• Introduction
• Background and Related Work
• Definition of Relevant Domain Concepts
• Importance of Feelings Moods, Psychological States
• Assessment of Emotions
• Self-Report-Based Methods for Emotion Assessment
• Physiology-Based Emotion Assessment
• Emotional Assessment from Blood
• Emotional Assessment from Brain
• Emotional Assessment from Physiological Signal Collection
• Expression-Based Emotion Assessment
• Facial Emotion Recognition (FER)
• Speech Based Emotion Recognition (SER)
• Emotional Assessment from Posture
• Internet-Use Based Emotion Assessment
• Social Network Analysis
• Smartphone-Based Emotion Assessment
• Smartphone-Based Experience Sampling Method Design
• Pros and Cons in Different Emotion Assessment Approaches
• Tapsense: Smartphone Typing Based Emotion Assessment
• Background
• Requirements
• Design and Implementation of TapSense
• Emotion Assessment Model Construction
• Experience Sampling Method Design
• TapSense: Field Study and Data Analysis
• Study Participants
• Instruction and Study Procedure
• Collected Dataset
• EMA Self-Report Analysis
• TapSense Evaluation
• Experimental Setup
• Baseline ESM Schedules
• Overall Performance Metrics
• ESM Performance Metrics
• Emotion Assessment: Classification Performance
• ESM Performance
• TapSense Study Discussion and Lessons Learnt
• Conclusive Remarks
• Appendices
• Appendix 1: Parameter Threshold Value
• Appendix 2: The ESM Trace Generation
• References
• Chapter 11: The Elusive Quantification of Self-Esteem: Current Challenges and Future Directions
• Introduction
• Definition of Self-Esteem.
• Assessing Self-Esteem
• Trait, Global, and State Self-Esteem Measures
• Trait and Global Self-Esteem Measures
• State Self-Esteem Measures
• Contingency of Self-Esteem
• The Motivational Force of Self-Esteem
• Future Directions in Assessing Self-Esteem
• New Technologies and Social-Psychological Processes and Constructs
• Toward New Methods of Quantifying and Conceptualizing Self-Esteem
• Conclusion
• References
• Chapter 12: Yoga and Meditation for Self-Empowered Behavior and Quality of Life
• Introduction
• Stress and Emotions' Influence on Psychophysiological Factors
• Thoughts, Beliefs, Emotions, and Behaviors
• The Influence of the Mind on Human Behavior
• Influence of Personal Beliefs on Human Behavior
• The Influence of Emotions on Human Behavior
• Behavior: Yoga and Meditation as Interventions for Stress Management
• Quantifying Thoughts, Beliefs, Feelings and Behaviors
• Yoga and Meditation as Techniques for Achieving Self-Empowered Behavior
• Concluding Remarks
• References
• Chapter 13: Technology-Enabled Assessment and Improvement of Inclusive Learning and Quality of Life in Higher Education
• Introduction
• Current Assessment Methods for Cognition/Executive Function, Attention, Memory and Learning in Healthy Populations
• Visual Tools
• Common Challenges to Inclusive Learning in Higher Education
• Physical Health and Illnesses
• Mental Health and Illnesses
• Learning Differences, Neurodiversity
• Students Juggling Higher Education with Work or Caring/Family Commitments
• Method
• Digital Learning and Teaching Platforms (DLTP) Description and Analysis
• Learning Management Systems
• Social and Collaborative Tools
• In-Class Engagement
• Out-of-Class Interactions
• Assessment and Improvement of Inclusive Learning with Digital Learning Platforms (DLTP)
• Physical Impairments
• Cognitive Impairments.
• Behavioral Impairments.