Pervasive Computing Technologies for Healthcare : 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings

• Autore: Salvi Dario
• Pubblicazione: Cham : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (525 pages)
• Altri autori: Van GorpPieter ShahSyed Ahmar
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Pervasive Mental Health -- Gaze Behaviour in Adolescentswith Obsessive-Compulsive DisorderDuring Exposure WithinCognitive-Behavioural Therapy -- 1 Introduction and Related Work -- 1.1 Fixations in Mobile Eye Tracking -- 1.2 Eye Tracking in Patients with OCD -- 2 Method -- 2.1 Study Details -- 2.2 Data Collection and Labelling -- 2.3 Patients -- 2.4 Fixation Analysis Pipeline -- 2.5 Analysis -- 3 Results -- 3.1 Clustering Results -- 3.2 Correlation Results -- 4 Discussion -- 4.1 Conclusion -- References -- Individual Behavioral Insightsin Schizophrenia: A Network Analysisand Mobile Sensing Approach -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Method -- 4.1 Data Pre-processing -- 4.2 Network Structure Estimation and Description -- 4.3 Permutation Testing -- 5 Results -- 5.1 Example of an Individual CrossCheck Participant -- 5.2 By Behavioral Context -- 6 Discussion -- References -- Baseline User Calibration for Cold-StartModel Personalization in Mental StateEstimation -- 1 Introduction -- 2 Related Work -- 2.1 Methods in Cognitive Load Detection -- 2.2 Cold-Start Model Personalization -- 3 Methodology -- 3.1 User Calibration -- 3.2 Dataset -- 3.3 Data Processing -- 3.4 Experimental Protocol -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Privacy, Ethics and Regulations -- Investigating AI in Medical Devices: The Need for Better Establishment of Risk-Assessment and Regulatory Foundations -- 1 Introduction -- 2 Background and Related Work -- 3 Methodological Approach -- 3.1 Literature Survey of Risks of AI-Enabled SaMD -- 3.2 EU AI-Based Medical Device Survey Protocol -- 3.3 Medical Device Stakeholder Survey -- 4 Findings -- 4.1 Literature Survey -- 4.2 EU AI-Based Medical Device Survey -- 4.3 Survey of Stakeholder Perceptions -- 5 Analysis -- 5.1 Literature Survey. ; 5.2 AI-Based Medical Devices in EU -- 5.3 Survey of Stakeholder Perceptions -- 6 Discussion -- 7 Conclusion -- References -- Exploring Users' Perspectives of Mobile Health Privacy and Autonomy -- 1 Introduction -- 2 Related Work -- 2.1 Ethics on Privacy, Trust, and Technology Acceptance -- 2.2 Pervasive mHealth and Black Box Use Cases -- 2.3 Privacy Control Versus Autonomy -- 3 Methods -- 3.1 Theoretical Framing -- 3.2 Participants -- 3.3 Study Procedures -- 3.4 Data Analysis -- 4 Findings -- 4.1 Incongruent Informed Consent is a Barrier to Engagement and Trust -- 4.2 Social Influences on Privacy Perceptions Influence Decisions -- 4.3 Contextual Nascence: Navigating Black Box Interoperability and Historical Preconceptions -- 5 Discussion -- 5.1 More Control Does Not Equal More Autonomy -- 5.2 Balancing Perceptions of mHealth Privacy Autonomy and Automation -- 5.3 Limitations -- 6 Conclusion -- Appendix -- References -- Automated Decision-Making Systems in Precision Medicine - The Right to Good Administration at Risk -- 1 Introduction -- 2 Setting the Scene -- 2.1 The Factual Context - Automated Decision-Making Systems in Precision Medicine -- 2.2 The Legal Context - In Vitro Diagnostic Medical Device Regulation -- 3 The Right to Good Administration -- 3.1 General Remarks -- 3.2 EU Charter -- 4 Obstacles to the Right to Good Administration -- 5 Conclusion - A Research Agenda -- References -- Datasets and Big Data Processing -- HeartView: An Extensible, Open-Source, Web-Based Signal Quality Assessment Pipeline for Ambulatory Cardiovascular Data -- 1 Introduction -- 2 Related Work -- 3 HeartView Overview -- 3.1 Data Processing Pipeline -- 3.2 Dashboard -- 4 Methods -- 4.1 Datasets -- 4.2 HeartView Assessment -- 5 Results -- 5.1 Group Differences -- 5.2 Cases: 'A03' and 'T10' -- 6 Discussion and Future Work -- 7 Conclusion -- References. ; Heuristic-Based Extraction and Unigram Analysis of Nursing Free Text Data Residing in Large EHR Clinical Notes -- 1 Introduction -- 2 Methods -- 2.1 Description of Data -- 2.2 Segregate and Retrieve the Narrative Embedded in the Nursing Notes -- 2.3 Identify and Retrieve All Narrative Notes Data -- 3 Results -- 4 Discussion -- References -- A Data-Driven Methodology and Workflow Process Leveraging Research Electronic Data Capture (REDCap) to Coordinate and Accelerate the Implementation of Personalized Microbiome-Based Nutrition Approaches in Clinical Research -- 1 Introduction -- 2 Materials and Methods -- 2.1 Ethical Statement -- 2.2 Data Source -- 2.3 Data Collection -- 2.4 Setting up the REDCap Database and Data Entry Workflow -- 3 Results -- 3.1 Defining the Block of Variables and Integrating Data -- 3.2 Clinical REDCap Workflow -- 3.3 Impact of Digitization in the Clinical Setting -- 4 Discussion and Conclusion -- References -- Pervasive Health for Carers -- Patient-Pharmacist Interactions in Chronic Care: A Qualitative Study and Implications for Design -- 1 Introduction -- 2 Background -- 2.1 The Role of Community Pharmacists -- 2.2 Technology in Community Pharmacies -- 3 Methods -- 3.1 Observations -- 3.2 In-Depth Interviews -- 3.3 Recruitment and Ethics -- 3.4 Portuguese Healthcare Context -- 4 Results: Current Practices of Managing Chronic Patients -- 4.1 Support Medication Starting and Correct Usage -- 4.2 Performing Measurements at the Pharmacy -- 4.3 Discussing Prescription Issues with Clinicians -- 5 Discussion -- 5.1 Implications for Design -- 6 Conclusion -- References -- RescuAR: A Self-Directed Augmented Reality System for Cardiopulmonary Resuscitation Training -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Design Requirements for Self-directed AR-Based CPR Teaching and Training Tool -- 4.1 Design Survey. ; 4.2 Participants -- 4.3 Survey Findings -- 5 RescuAR System Design and Implementation -- 5.1 RescuAR Application -- 5.2 CPR Manikin -- 6 User Study and System Evaluation -- 6.1 Study Design -- 6.2 Study Protocol -- 6.3 Participants -- 6.4 Data Collection and Analysis -- 6.5 Results -- 7 Discussion -- 7.1 Limitations -- 8 Conclusion -- References -- Towards Augmenting Mental Health Personnel with LLM Technology to Provide More Personalized and Measurable Treatment Goals for Patients with Severe Mental Illnesses -- 1 Introduction -- 2 Theoretical Background -- 2.1 Behavior Change Theories -- 2.2 AI in Mental Healthcare -- 3 Methods -- 3.1 Prototype -- 3.2 Measurable Goals -- 4 Results -- 4.1 Prototype -- 4.2 Evaluating Generated Measurable Goals -- 5 Discussion -- 6 Conclusion -- References -- Fanima! Pervasive Serious Game for Phonetic-Phonological Assessment of Children Towards Autonomous Speech Therapy -- 1 Introduction -- 2 Background and Related Work -- 3 Participatory Design of Fanima -- 3.1 First Workshops - Empathize and Define Problem -- 3.2 Intermediate Workshops - Ideate -- 3.3 Final Workshops - Prototype -- 3.4 Test Phase Workshops - Validate Fanima Design Principles -- 4 User Study -- 4.1 Design and Participants -- 4.2 Results and Discussion -- 5 Conclusions and Future Work -- References -- Pervasive Health in Clinical Practice -- A Decentralized Clinical Trial of a Digital Intervention with Multiple Health Trackers for Heart Failure: Early Learnings and Practical Considerations -- 1 Introduction -- 1.1 Background and Related Work -- 1.2 Research Aims -- 2 Methods -- 2.1 Study Procedure -- 2.2 Assessment of Early Learnings and Practical Considerations -- 3 Results -- 3.1 Overview -- 3.2 Themes and Challenges -- 4 Discussion -- 5 Conclusion -- References -- Activity Recognition of Nursing Tasks in a Hospital: Requirements and Challenges. ; 1 Introduction -- 2 Related Work -- 3 Aim and Methods -- 4 Results -- 4.1 Functional Requirements -- 4.2 Non-functional Requirements -- 4.3 Possible Activities and Scenarios -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Exploring How Telephone Triage Nurses Support Older People with Multimorbidity to Engage in Digital Self-management -- 1 Introduction -- 2 Methods -- 3 Findings -- 3.1 Supports Provided by the TTNs -- 3.2 The Nature of the Relationship -- 3.3 The Quality of the Relationship -- 3.4 The Important Aspects of the Relationship -- 3.5 The Role of the TTNs in Supporting Engagement in Self-management -- 4 Discussion -- 5 Conclusion -- References -- Remote Monitoring -- Mobile Application for Remote Monitoring of Peripheral Edema -- 1 Introduction -- 2 Related Work -- 2.1 Peripheral Edema and Its Causes -- 2.2 Assessment of Edema and Current Challenges -- 2.3 Telehealth Monitoring -- 2.4 Deployment of Telehealth Services via Mobile Applications -- 2.5 Potential Application of Deep Learning in the Assessment of Peripheral Edema -- 2.6 Limitations in the Integration of Deep Learning and Mobile Application Development -- 2.7 Use of the MobileNetV3 CNN Model for Image Classification in Mobile Devices -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Deep Learning Model Design -- 3.3 Deep Learning Model Validation Strategy -- 3.4 Mobile Application Development -- 3.5 Integrated Testing of Mobile Application -- 3.6 User Satisfaction Survey -- 4 Results -- 4.1 Deep Learning Model -- 4.2 Integrated Testing of Mobile Application -- 4.3 User Satisfaction Survey -- 5 Discussion -- 6 Conclusion and Recommendations For Future Work -- 6.1 Conclusion -- 6.2 Recommendations -- References -- Pervasive Glucose Monitoring: A Non-invasive Approach Based on Near-Infrared Spectroscopy -- 1 Introduction -- 2 Related Works. ; 3 Principles of Near-Infrared Spectroscopy for Glucose Estimation.
• Titolo autorizzato: Pervasive Computing Technologies for Healthcare
• ISBN: 9783031597176; 9783031597169
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910865232703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Series