Pervasive Computing Technologies for Healthcare
Springer International Publishing (Verlag)
978-3-031-34585-2 (ISBN)
The 45 full papers included in this volume were carefully reviewed and selected from 120 submissions. The papers are organized in the following topical sections: personal informatics and wearable devices; computer vision; IoT-HR: Internet of things in health research; pervasive health for COVID-19; machine learning, human activity recognition and speech recognition; software frameworks and interoperability; facial recognition, gesture recognition and object detection; machine learning, predictive models and personalised healthcare; human-centred design of pervasive health solutions; personalized healthcare.
Personal Informatics and Wearable Devices: Robust Respiration Sensing Based on Wi-Fi Beamforming.- Heart Rate During Sleep Measured Using Finger-, Wristand Chest-Worn Devices: A Comparison Study.- A Low-Cost Wearable System to Support Upper Limb Rehabilitation in Resource-Constrained Settings.- Computer Vision: Multiclass Semantic Segmentation of Mediterranean Food Images.- Comparative Study of Machine Learning Methods on Spectroscopy Images for Blood Glucose Estimation.- Classification of Kidney Tumor grading on Preoperative Computed Tomography Scan.- IoT-HR: Internet of Things in Health Research: An IoT-based system for the study of neuropathic pain in spinal cord injury.- IoT smart shoe solution for neuromuscular disease monitoring.- Compliance and Usability of an Asthma Home Monitoring System.- Assessing Older Adult's Gait Speed with Wearable Accelerometers in Community Settings: Validity and Reliability Study.- Healthcare Based on IoT using Arduino, MPU6050 accelerometer and gyroscope sensor and FSR-174 strain gauge for fatigue assessment.- Smartphone-based strategy for Quality-of-Life monitoring in head and neck cancer survivors.- Pervasive Health for COVID-19: COVID-19 Classification Algorithm based on Privacy Preserving Federated Learning.- Flattening the Curve through Reinforcement Learning riven Test and Trace Policies.- Connecting Self-reported COVID-19 Needs with Social Determinants of Health.- Machine Learning, Human Activity Recognition and Speech Recognition: Up-Sampling Active Learning: An Activity Recognition Method for Parkinson's Disease Patients.- Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers.- Research on Passive Assessment of Parkinson's Disease Utilising Speech Biomarkers.- Millimeter Wave Radar Sensing Technology for Filipino Sign Language Recognition.- Dehydration Scan: An Artificial Intelligence Assisted Smartphone-based System for Early Detection of Dehydration.- Software Frameworks and Interoperability: Experiencer: An Open-source Context-Sensitive Wearable Experience Sampling Tool.- BONVITA: Enabling integrated self-care for improving chronic patient's wellbeing.- Data Analytics For Health and Connected Care: Ontology, Knowledge Graph and Applications.- Health data semantics: Exploring requirements for sustainable health systems.- Facial Recognition, Gesture Recognition and Object Detection.- A quantitative comparison of manual vs. automated facial coding using real life observations of fathers.- Knowledge-Driven Dialogue and Visual Perception for Smart OR.- MM4Drone: A Multi-Spectral Image and MmWave Radar Approach for Identifying MosquitoBreeding Grounds via Aerial Drones.- Machine Learning, Predictive Models and Personalised Healthcare: Spatio-temporal Predictive Modeling for Placement of Substance Use Disorder Treatment Facilities in the Midwestern U.S.- Linking data collected from mobile phones with disease level in Parkinson's. Data exploration of the mPower study.- An Exploratory Study of the Value of Vital Signs on the Short-term Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes - The GlucoseML Study.- Less Is More: Leveraging Digital Behavioral Markers for Real-Time Identification of Loneliness in Resource-Limited Settings.- Toward Understanding Users' Interactions with a Mental Health App: An Association Rule Mining Approach.- Application of Shapley Additive Explanation towards Determining Personalized Triage from Health Checkup Data.- Human-Centred Design of Pervasive Health Solutions: Dance Mat Fun - A Participatory Design of Exergames for Children with Disabilities.- Designing hearing aids to mitigate perceived stigma associated with hearing impairment.- Demands on User Interfaces for People with Intellectual Disabilities, their Requirements, and Adjustments.- A Rule Mining and Bayesian Network Analysis to Explore the Link Between Depression and Digital Behavioral Markers of Games App Usage.- mHealth for Medication and Side Effect Monitoring: Pa-tients' Attitudes Toward Smart Devices for Managing Oral Chemotherapy during Lung Cancer Treatment.- Exploring the Design Space of Technological Interventions for Menopause: A Systematic Review.- Personalized Healthcare: Understanding barriers of missing data in Personal Informatics Systems.- "I have to do something about it" - An Exploration of How Dashboards Invoke Self-Reflections in Chronic Obstructive Pulmonary DiseasePatients.- Design of a social chatbot with gamification for user profiling and smoking trigger detection.- Specification of Quality of Context Requirements for Digital Phenotyping Applications.- Patient Data Work with Consumer Self-Tracking: Exploring Affective and Temporal Dimensions in Chronic Self-Care.- Personalizing mHealth Persuasive Interventions for Physical Activity_the Impact of Personality on the Determinants of Physical Activity.
Erscheinungsdatum | 13.06.2023 |
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Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
Zusatzinfo | XVI, 701 p. 323 illus., 190 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1086 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Informatik ► Weitere Themen ► Hardware | |
Medizin / Pharmazie ► Gesundheitsfachberufe | |
Medizin / Pharmazie ► Pflege | |
Wirtschaft ► Betriebswirtschaft / Management | |
Schlagworte | Artificial Intelligence • bandwidth • Communication Systems • Computer Hardware • Computer Science • Computer systems • computer vision • Data communication systems • Healthcare • Human-Computer Interaction (HCI) • Image Processing • Informatics • Network Protocols • sensors • Signal Processing • Telecommunication networks • telelecommunication traffic |
ISBN-10 | 3-031-34585-1 / 3031345851 |
ISBN-13 | 978-3-031-34585-2 / 9783031345852 |
Zustand | Neuware |
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