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Internet of Things Technologies for HealthCare : Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers / edited by Mobyen Uddin Ahmed, Shahina Begum, Wasim Raad.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering 1867-8211 ; 187.
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-8211 ; 187
- Language:
- English
- Subjects (All):
- Medical informatics.
- Computers, Special purpose.
- Artificial intelligence.
- Computer networks.
- Application software.
- Data mining.
- Health Informatics.
- Special Purpose and Application-Based Systems.
- Artificial Intelligence.
- Computer Communication Networks.
- Information Systems Applications (incl. Internet).
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Health Informatics.
- Special Purpose and Application-Based Systems.
- Artificial Intelligence.
- Computer Communication Networks.
- Information Systems Applications (incl. Internet).
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XIII, 186 pages) : 51 illustrations.
- Edition:
- First edition 2016.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-51234-1
- 9783319512341
- Access Restriction:
- Restricted for use by site license.
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