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Internet of Things Technologies for HealthCare

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Cover of 'Internet of Things Technologies for HealthCare'

Table of Contents

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    Book Overview
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    Chapter 1 Ecare@Home: A Distributed Research Environment on Semantic Interoperability
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    Chapter 2 Halmstad Intelligent Home - Capabilities and Opportunities
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    Chapter 3 Healthcare Needs, Company Innovations, and Research - Enabling Solutions Within Embedded Sensor Systems for Health
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    Chapter 4 A Case-Based Classification for Drivers’ Alcohol Detection Using Physiological Signals
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    Chapter 5 Towards a Probabilistic Method for Longitudinal Monitoring in Health Care
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    Chapter 6 A Classification Model for Predicting Heart Failure in Cardiac Patients
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    Chapter 7 Ins and Outs of Big Data: A Review
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    Chapter 8 A Review of Parkinson’s Disease Cardinal and Dyskinetic Motor Symptoms Assessment Methods Using Sensor Systems
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    Chapter 9 Why Hackers Love eHealth Applications
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    Chapter 10 Reliable Communication in Health Monitoring Applications
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    Chapter 11 Security Context Framework for Distributed Healthcare IoT Platform
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    Chapter 12 BitRun: Gamification of Health Data from Fitbit® Activity Trackers
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    Chapter 13 Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening
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    Chapter 14 Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing
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    Chapter 15 Beyond ‘Happy Apps’: Using the Internet of Things to Support Emotional Health
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    Chapter 16 TEEM: A Mobile App for Technology-Enhanced Emergency Management
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    Chapter 17 Perception of Delay in Computer Input Devices Establishing a Baseline for Signal Processing of Motion Sensor Systems
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    Chapter 18 Telemetry System for Diagnosis of Asthma and Chronical Obstructive Pulmonary Disease (COPD)
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    Chapter 19 Remotely Supporting Patients with Obstructive Sleep Apnea at Home
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    Chapter 20 An Aggregation Plateform for IoT-Based Healthcare: Illustration for Bioimpedancemetry, Temperature and Fatigue Level Monitoring
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    Chapter 21 SmartMirror: An Embedded Non-contact System for Health Monitoring at Home
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    Chapter 22 The E-Care@Home Infrastructure for IoT-Enabled Healthcare
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    Chapter 23 CAMI - An Integrated Architecture Solution for Improving Quality of Life of the Elderly
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    Chapter 24 Driver’s State Monitoring: A Case Study on Big Data Analytics
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    Chapter 25 Falling Angel – A Wrist Worn Fall Detection System Using K-NN Algorithm
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    Chapter 26 RFID Based Telemedicine System for Localizing Elderly with Chronic Diseases
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    Chapter 27 Design and Implementation of Smartphone-Based Tear Volume Measurement System
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    Chapter 28 Towards an IoT Architecture for Persons with Disabilities and Applications
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    Chapter 29 Security and Privacy Issues in Health Monitoring Systems: eCare@Home Case Study
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    Chapter 30 Design of IoT Solution for Velostat Footprint Pressure Sensor System
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    Chapter 31 Test-Retest and Intra-rater Reliability of Using Inertial Sensors and Its Integration with Microsoft Kinect™ to Measure Shoulder Range-of-Motion
Attention for Chapter 13: Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening
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Chapter title
Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening
Chapter number 13
Book title
Internet of Things Technologies for HealthCare
Published by
Springer, Cham, October 2016
DOI 10.1007/978-3-319-51234-1_13
Book ISBNs
978-3-31-951233-4, 978-3-31-951234-1
Authors

João Costa, Inês Sousa, Filipe Soares

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Master 2 15%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Professor 1 8%
Other 3 23%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 3 23%
Medicine and Dentistry 3 23%
Nursing and Health Professions 1 8%
Unspecified 1 8%
Psychology 1 8%
Other 1 8%
Unknown 3 23%