IoT Technologies and Wearables for HealthCare

IoT Technologies and Wearables for HealthCare

10th EAI International Conference, HealthyIoT 2023, and 4th EAI International Conference, HealthWear 2023, Bratislava, Slovakia, October 24-26, 2023, Proceedings

Marques Martins de Almeida, Jose Manuel; Zdravevski, Eftim; Ferraro, Venere; Pires, Ivan Miguel; Goncalves, Norberto Jorge; Covarrubias, Mario

Springer International Publishing AG

11/2024

148

Mole

9783031719103

Pré-lançamento - envio 15 a 20 dias após a sua edição

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IoT Technologies for HealthCare.- Test and validation of an Internet of Things platform for remote monitoring of pregnant women.- Transforming Diabetes Care A Review of IoT Based Mobile Health Systems.- Investigating the use of utility monitoring as a means of recognizing activities of daily living ADLs to enable independent living among People Living with Dementia.- Enhancing Transparency and Trustworthiness of Healthcare IoT Data with AWS A Proposed Model.- Guidelines to develop an Art Therapy APP to control the childrens state anxiety in Mexico.- Wearables in Healthcare.- Commercial and Research based Wearable Devices in Spinal Postural Analysis A Systematic Review.- Role of Big Data, AI and Deep learning in Medical Image training models and decision support system using I4 0 technologies.- Generating Breathing Patterns In Real Time Low Latency Respiratory Phase Tracking From 25Hz PPG.- Navigating Health Applications Realms Consent Challenges and User Empowerment in European Law.- The Application of Virtual Reality in Enhancing Medical Education Benefits, Challenges, and Outlook for the Future.
eHealth;Healthcare Knowledge;Health Data collection;Health Monitoring;Network Communications for Health Monitoring;Cloud Architecture for Healthcare;Biomedical Signal Processing in IoT;Sensor Network Operating Systems and Resource Management;Uncertainty Analysis in IoT-based Technologies;Human Factors in IoT and Smart Technology;IoT and mHealth for Population Screening and Disease Prevention;Telemedicine and Remote Monitoring Applications;Activity Monitoring and Devices;Medical Self-diagnostics;Healthcare and edge computing Deep-learning ;Global Health Applications using IoT