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Ambient Intelligence for Health

Overview of attention for book
Cover of 'Ambient Intelligence for Health'

Table of Contents

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    Book Overview
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    Chapter 1 Real-Time Recognition of Arm Motion Using Artificial Neural Network Multi-perceptron with Arduino One MicroController and EKG/EMG Shield Sensor
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    Chapter 2 Fully-Wireless Sensor Insole as Non-invasive Tool for Collecting Gait Data and Analyzing Fall Risk
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    Chapter 3 A Mobile Cloud Shared Workspace to Support Homecare for Respiratory Diseases in Chile
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    Chapter 4 Extracting Information from Electronic Medical Records to Identify Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures
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    Chapter 5 Daily Activity Monitoring for Prevention of Pressure Ulcers in Long-Term Wheelchair Users
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    Chapter 6 ReApp – A Mobile App for the Rehabilitation of Ankle Sprains
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    Chapter 7 A Sensorized and Health Aspect-Based Framework to Improve the Continuous Monitoring on Diseases Using Smartphones and Smart Devices
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    Chapter 8 Real-Time Decision Support Using Data Mining to Predict Blood Pressure Critical Events in Intensive Medicine Patients
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    Chapter 9 A Real-Time Intelligent System for Tracking Patient Condition
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    Chapter 10 Detecting State Anxiety When Caring for People with Dementia
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    Chapter 11 Mass Segmentation in Digital Mammograms
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    Chapter 12 Comparison of a Vision-Based System and a Wearable Inertial-Based System for a Quantitative Analysis and Calculation of Spatio-Temporal Parameters
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    Chapter 13 Arm Muscular Effort Estimation from Images Using Computer Vision and Machine Learning
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    Chapter 14 Ubiquitous and Ambient Assisted Living eHealth Platforms for the Republic of Panama: Two Cases of Study
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    Chapter 15 Making the Physical Therapy Entertaining
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    Chapter 16 Vision Based Extraction of Dynamic Gait Features Focused on Feet Movement Using RGB Camera
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    Chapter 17 Reflections from a Long-term Deployment Study to Design Novel Interactive Surfaces for Children with Autism
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    Chapter 18 Low Complexity Neural Networks to Classify EEG Signals Associated to Emotional Stimuli
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    Chapter 19 EmoBall: A Study on a Tangible Interface to Self-report Emotional Information Considering Digital Competences
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    Chapter 20 Can Videogames Improve Executive Functioning? A Research Based on Computational Neurosciences
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    Chapter 21 Arousal Level Classification in the Ageing Adult by Measuring Electrodermal Skin Conductivity
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    Chapter 22 Stress Modelling Using Transfer Learning in Presence of Scarce Data
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    Chapter 23 Improving Social Communication Disorders Through Human-Avatar Interaction
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    Chapter 24 A Methodology for the Creation of Integrated Service Networks in Outpatient Internal Medicine
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    Chapter 25 NI-CHIC: A Model for Academic Engagement with Industry
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    Chapter 26 Simulation Results of a Model to Provide Consistent Functionality and Performance in a Healthy Smart City
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    Chapter 27 Web Application for Doctor-Patient Communication in the Treatment of Mental Disorders
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    Chapter 28 Processing EEG Signals Towards the Construction of a User Experience Assessment Method
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    Chapter 29 Reduction of Average Lead Time in Outpatient Service of Obstetrics Through Six Sigma Methodology
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Citations

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Readers on

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52 Mendeley
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Title
Ambient Intelligence for Health
Published by
Springer International Publishing, December 2015
DOI 10.1007/978-3-319-26508-7
ISBNs
978-3-31-926507-0, 978-3-31-926508-7
Editors

Bravo, José, Hervás, Ramón, Villarreal, Vladimir

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Colombia 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Student > Bachelor 11 21%
Student > Master 9 17%
Researcher 6 12%
Student > Doctoral Student 4 8%
Other 4 8%
Unknown 6 12%
Readers by discipline Count As %
Engineering 18 35%
Computer Science 15 29%
Psychology 4 8%
Nursing and Health Professions 1 2%
Economics, Econometrics and Finance 1 2%
Other 3 6%
Unknown 10 19%