Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/informatique/iot-technologies-for-healthcare/descriptif_4549308
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=4549308

IoT Technologies for HealthCare, 1st ed. 2021 7th EAI International Conference, HealthyIoT 2020, Viana do Castelo, Portugal, December 3, 2020, Proceedings Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Series, Vol. 360

Langue : Anglais

Coordonnateurs : Goleva Rossitza, Garcia Nuno Ricardo da Cruz, Pires Ivan Miguel

Couverture de l’ouvrage IoT Technologies for HealthCare
This book constitutes the proceedings of the 7th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2020, held in Viana do Castello, Portugal, in December 2020. Due to Covid-19 pandemic the conference was held virtually.

The IoT as a set of existing and emerging technologies, notions and services can provide many solutions to delivery of electronic healthcare, patient care, and medical data management.
The 12 revised full papers presented were carefully reviewed and selected from 27 submissions. The papers are grouped in topics on physical data tracking wearables, applications and systems; psychological data tracking wearables, applications and systems; scenarios and security.

Physical Data Tracking Wearables, Applications and Systems.- Development and Evaluation of a Novel Method for Adult Hearing Screening: Towards a Dedicated Smartphone App.- A Non-Invasive Cloud-Based IoT System and Data Analytics Support for Women Struggling with Drug Addictions During Pregnancy.- Sensors Characterization for a Calibration-Free Connected Smart Insole for Healthy Ageing.- Novel Wearable System for Surface EMG Using Compact Electronic Board and Printed Matrix of Electrodes.- Chronic Kidney Disease Early Diagnosis Enhancing by using Data Mining Classification and Features Selection.- Interpreting the Visual Acuity of the Human Eye with Wearable EEG Device and SSVEP.- Psychological Data Tracking Wearables, Applications and Systems.- Stress Detection with Deep Learning Approaches using Physiological Signals.- Classification of Anxiety Based on EDA and HR Preliminary Results of IoT-Enabled EDA-Based Analysis of Physiological Response to Acoustic Stimuli Scenarios and Security.- CoviHealth: A pilot study of physical activities and nutrition habits of teenagers in Central Portugal.- Dynamic Time Division Scheduling Protocol for Medical Application using Frog Synchronization Algorithm.- Cybersecurity Analysis for a Remote Drug Dosing and Adherence Monitoring System.