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ICTs for Improving Patients Rehabilitation Research Techniques

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Cover of 'ICTs for Improving Patients Rehabilitation Research Techniques'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Pervasive Predictive Analytics in Interactive Prevention and Rehabilitation for Older People
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    Chapter 2 A Virtual System for Balance Control Assessment at Home
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    Chapter 3 Assessment of Attentional and Mnesic Processes Through Gaze Tracking Analysis: Inferences from Comparative Search Tasks Embedded in VR Serious Games
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    Chapter 4 Pressure Data and Multi-material Approach to Design Prosthesis
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    Chapter 5 An Auditory Feedback Based System for Treating Autism Spectrum Disorder
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    Chapter 6 Using Wii Balance Board to Evaluate Software Based on Kinect2
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    Chapter 7 Cognitive Improvement via mHealth for Patients Recovering from Substance Use Disorder
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    Chapter 8 Intuitively Evaluating Balance Measurement Software Using Kinect2
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    Chapter 9 Model for Design of Serious Game for Rehabilitation in Children with Cochlear Implant
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    Chapter 10 Hyperbaric Oxygen Chamber Users May Obtain Immersive Enjoyment by Virtual Reality Glasses
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    Chapter 11 Amblyopia Rehabilitation by Games for Low-Cost Virtual Reality Visors
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    Chapter 12 Interactive Kinect-Based Rehabilitation Framework for Assisting Children with Upper Limb Cerebral Palsy
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    Chapter 13 Neuropsychological Predictors of Alcohol Abtinence Following a Detoxification Program
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    Chapter 14 Virtual Rehabilitation on the Web: Analyzing and Improving Interaction in Postures Design
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    Chapter 15 A Stationary Bike in Augmented Audio Reality. An Investigation on Soundscapes Influence on Preferred Biking Speed
Overall attention for this book and its chapters
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5 Mendeley
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Title
ICTs for Improving Patients Rehabilitation Research Techniques
Published by
Springer International Publishing, November 2017
DOI 10.1007/978-3-319-69694-2
ISBNs
978-3-31-969693-5, 978-3-31-969694-2
Editors

Fardoun, Habib M., R. Penichet, Victor M., Alghazzawi, Daniyal M., De la Guia, M. Elena

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 20%
Unknown 4 80%
Readers by discipline Count As %
Computer Science 1 20%
Unknown 4 80%