Úplné zobrazení záznamu

Toto je statický export z katalogu ze dne 11.05.2024. Zobrazit aktuální podobu v katalogu.

Bibliografická citace

.
0 (hodnocen0 x )
EB
ONLINE
Cham : Springer International Publishing AG, 2022
1 online resource (596 pages)
Externí odkaz    Plný text PDF 
   * Návod pro vzdálený přístup 


ISBN 9783030942120 (electronic bk.)
ISBN 9783030942113
Health Informatics Ser.
Print version: Wac, Katarzyna Quantifying Quality of Life Cham : Springer International Publishing AG,c2022 ISBN 9783030942113
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.
Assessment and Improvement of Inclusive Learning with Digital Learning Platforms (DLTP) -- Physical Impairments -- Cognitive Impairments.
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 ---
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.
Behavioral Impairments.
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.
Assessment and Improvement of Inclusive Learning with Digital Learning Platforms (DLTP) -- Physical Impairments -- Cognitive Impairments.
Body Schema, Body Image, and Self-Tracking -- Body Schema -- Body Image -- Self-Tracking -- Body Awareness and Self-Tracking -- Body Awareness -- Self-Tracking.
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 ---
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 ---
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.
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 ---
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 ---
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.
001896910
express
(Au-PeEL)EBL6953198
(MiAaPQ)EBC6953198
(OCoLC)1311380771

Zvolte formát: Standardní formát Katalogizační záznam Zkrácený záznam S textovými návěštími S kódy polí MARC