Internet of Things Technologies for HealthCare [recurso electrónico] : Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers / edited by Mobyen Uddin Ahmed, Shahina Begum, Wasim Raad.

Colaborador(es): Ahmed, Mobyen Uddin [editor.] | Begum, Shahina [editor.] | Raad, Wasim [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 187Editor: Cham : Springer International Publishing : Imprint: Springer, 2016Descripción: XIII, 186 p. 51 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319512341Tema(s): Computer science | Health informatics | Computer communication systems | Special purpose computers | Data mining | Artificial intelligence | Computer Science | Health Informatics | Special Purpose and Application-Based Systems | Artificial Intelligence (incl. Robotics) | Computer Communication Networks | Information Systems Applications (incl. Internet) | Data Mining and Knowledge DiscoveryFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 502.85 Clasificación LoC:R858-R859.7Recursos en línea: Libro electrónicoTexto
Contenidos:
Ecare@Home: A Distributed Research Environment on Semantic Interoperability -- Halmstad Intelligent Home - Capabilities and Opportunities -- Healthcare needs, company innovations, and research enabling solutions within Embedded Sensor Systems for Health -- A Case-Based Classification for Drivers? Alcohol Detection Using Physiological Signals -- Towards a Probabilistic Method for Longitudinal Monitoring in Health Care -- A Classification Model for Predicting Heart Failure in Cardiac Patients by Using Unstructured Data -- Ins and Outs of Big Data: A Review -- A review of Parkinson?s disease cardinal and dyskinetic motor symptoms assessment methods using sensor systems -- Why Hackers Love eHealth Applications -- Reliable Communication in Health Monitoring Applications11 Security Context Framework for Distributed Healthcare IoT Platform -- BitRun: Gamification of Health Data from Fitbit Activity Trackers -- Smartphone-based Decision Support System for Elimination of Pathology-free Images in Diabetic Retinopathy Screening -- Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing -- Beyond ?Happy Apps?: Using the Internet of Things to Support Emotional Health -- TEEM: a Mobile App for Technology-Enhanced Emergency Management -- Perception of Delay in Computer Input Devices Establishing a Baseline for Signal Processing of Motion Sensor Systems -- Telemetry system for diagnosis of Asthma and Chronical Obstructive Pulmonary Disease (COPD) -- Remotely Supporting Patients with Obstructive Sleep Apnea at Home -- An aggregation platform for IoT-based healthcare: illustration for bioimpedancemetry, temperature and fatigue level monitoring.
En: Springer eBooksResumen: This book constitutes the proceedings of the Third International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2016, held in Västerås, Sweden, October 18-19, 2016. The conference also included the First Workshop on Emerging eHealth through Internet of Things (EHIoT 2016). IoT as a set of existing and emerging technologies, notions and services provides many solutions to delivery of electronic healthcare, patient care, and medical data management. The 31 revised full papers presented along with 9 short papers were carefully reviewed and selected from 43 submissions in total. The papers cover topics such as healthcare support for the elderly, real-time monitoring systems, security, safety and communication, smart homes and smart caring environments, intelligent data processing and predictive algorithms in e-Health, emerging eHealth IoT applications, signal processing and analysis, and smartphones as a healthy thing.
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Ecare@Home: A Distributed Research Environment on Semantic Interoperability -- Halmstad Intelligent Home - Capabilities and Opportunities -- Healthcare needs, company innovations, and research enabling solutions within Embedded Sensor Systems for Health -- A Case-Based Classification for Drivers? Alcohol Detection Using Physiological Signals -- Towards a Probabilistic Method for Longitudinal Monitoring in Health Care -- A Classification Model for Predicting Heart Failure in Cardiac Patients by Using Unstructured Data -- Ins and Outs of Big Data: A Review -- A review of Parkinson?s disease cardinal and dyskinetic motor symptoms assessment methods using sensor systems -- Why Hackers Love eHealth Applications -- Reliable Communication in Health Monitoring Applications11 Security Context Framework for Distributed Healthcare IoT Platform -- BitRun: Gamification of Health Data from Fitbit Activity Trackers -- Smartphone-based Decision Support System for Elimination of Pathology-free Images in Diabetic Retinopathy Screening -- Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing -- Beyond ?Happy Apps?: Using the Internet of Things to Support Emotional Health -- TEEM: a Mobile App for Technology-Enhanced Emergency Management -- Perception of Delay in Computer Input Devices Establishing a Baseline for Signal Processing of Motion Sensor Systems -- Telemetry system for diagnosis of Asthma and Chronical Obstructive Pulmonary Disease (COPD) -- Remotely Supporting Patients with Obstructive Sleep Apnea at Home -- An aggregation platform for IoT-based healthcare: illustration for bioimpedancemetry, temperature and fatigue level monitoring.

This book constitutes the proceedings of the Third International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2016, held in Västerås, Sweden, October 18-19, 2016. The conference also included the First Workshop on Emerging eHealth through Internet of Things (EHIoT 2016). IoT as a set of existing and emerging technologies, notions and services provides many solutions to delivery of electronic healthcare, patient care, and medical data management. The 31 revised full papers presented along with 9 short papers were carefully reviewed and selected from 43 submissions in total. The papers cover topics such as healthcare support for the elderly, real-time monitoring systems, security, safety and communication, smart homes and smart caring environments, intelligent data processing and predictive algorithms in e-Health, emerging eHealth IoT applications, signal processing and analysis, and smartphones as a healthy thing.

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