Overview

This book constitutes the refereed post-conference proceedings of the 9th International Conference, ICT4AWE 2023, held in Prague, Czech Republic, during April 22–24, 2023. The 9 full papers of ICT4AWE 2023 included in this book were carefully reviewed and selected from 39 submissions. They focus on current research in Information and Communication Technologies for Ageing Well and e-Health, such as data and real-time analytics, health information systems, decision support systems, computer vision and healthcare robotics, medical data science technologies, Internet of Things and smart devices for independent living, human communication and behavioural studies of senior citizens, home care monitoring systems, health geography, cultural issues and emergency and alerts handling.

Full Product Details

Author:   Martina Ziefle ,  María Dolores Lozano ,  Maurice Mulvenna
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   2087
ISBN:  

9783031627521

ISBN 10:   3031627520
Pages:   171
Publication Date:   26 July 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Identifying Three Affordances in ICT-Enabled Community-Based Social Support Systems for the Elderly: A Study of Four Japanese Cases.- Supporting Communication for People With Aphasia While Lying in Bed.- Overcoming Barriers in International Telemedicine Education: A Mixed-Method Study in the Philippines.- The Influence of Smart Shopping Carts on the Healthier Food Choices of Young Consumers.- SleepPal: A Novel System for Elderly Sleep Monitoring and Bed Falls Detection.- A Novel Transformation through Digital Twin and Federated Learning Integration: A Case Study on Cardiovascular Disease Prediction.- vEEGNet: Learning Latent Representations to Reconstruct EEG Raw Data via Variational Autoencoders.- Standardising Wound Image Acquisition Through Edge AI.- Streamlining Clinical Evaluation with Explanatory Data Analytics for Adverse Events in Medical Devices.

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