Quantifying Quality of Life : Incorporating Daily Life into Medicine.
Main Author: | |
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Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing AG,
2022.
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Edition: | 1st ed. |
Series: | Health Informatics Series
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Subjects: | |
Online Access: | Click to View |
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.