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Neurorehabilitation Technology

Overview of attention for book
Cover of 'Neurorehabilitation Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Learning in the Damaged Brain/Spinal Cord: Neuroplasticity
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    Chapter 2 Movement Neuroscience Foundations of Neurorehabilitation
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    Chapter 3 Recovery of Sensorimotor Functions After Stroke and SCI: Neurophysiological Basis of Rehabilitation Technology
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    Chapter 4 Use of Technology in the Assessment and Rehabilitation of the Upper Limb After Cervical Spinal Cord Injury
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    Chapter 5 Implementation of Impairment-Based Neurorehabilitation Devices and Technologies Following Brain Injury
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    Chapter 6 The Hand After Stroke and SCI: Restoration of Function with Technology
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    Chapter 7 Neural Coordination of Cooperative Hand Movements: Implications for Rehabilitation Technology
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    Chapter 8 Robotic Gait Training in Specific Neurological Conditions: Rationale and Application
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    Chapter 9 Designing User-Centered Technologies for Rehabilitation Challenge that Optimize Walking and Balance Performance
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    Chapter 10 Psychophysiological Integration of Humans and Machines for Rehabilitation
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    Chapter 11 Sensory-Motor Interactions and the Manipulation of Movement Error
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    Chapter 12 The Role of Haptic Interactions with Robots for Promoting Motor Learning
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    Chapter 13 Implementation of Robots into Rehabilitation Programs: Meeting the Requirements and Expectations of Professional and End Users
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    Chapter 14 Clinical Application of Rehabilitation Therapy Technologies to Children with CNS Damage
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    Chapter 15 Robotic Technologies and Digital Health Metrics for Assessing Sensorimotor Disability
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    Chapter 16 Computational Neurorehabilitation
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    Chapter 17 Precision Rehabilitation: Can Neurorehabilitation Technology Help Make It a Realistic Target?
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    Chapter 18 Spinal Cord Stimulation to Enable Leg Motor Control and Walking in People with Spinal Cord Injury
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    Chapter 19 Functional Electrical Stimulation Therapy: Mechanisms for Recovery of Function Following Spinal Cord Injury and Stroke
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    Chapter 20 Basis and Clinical Evidence of Virtual Reality-Based Rehabilitation of Sensorimotor Impairments After Stroke
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    Chapter 21 Wearable Sensors for Stroke Rehabilitation
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    Chapter 22 BCI-Based Neuroprostheses and Physiotherapies for Stroke Motor Rehabilitation
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    Chapter 23 Passive Devices for Upper Limb Training
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    Chapter 24 Mobile Technology for Cognitive Rehabilitation
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    Chapter 25 Telerehabilitation Technology
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    Chapter 26 Forging Mens et Manus: The MIT Experience in Upper Extremity Robotic Therapy
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    Chapter 27 Three-Dimensional Multi-Degree-of-Freedom Arm Therapy Robot (ARMin)
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    Chapter 28 Upper-Extremity Movement Training with Mechanically Assistive Devices
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    Chapter 29 Technology of the Robotic Gait Orthosis Lokomat
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    Chapter 30 Using Robotic Exoskeletons for Overground Locomotor Training
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    Chapter 31 Beyond Human or Robot Administered Treadmill Training
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    Chapter 32 A Flexible Cable-Driven Robotic System: Design and Its Clinical Application for Improving Walking Function in Adults with Stroke, SCI, and Children with CP
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    Chapter 33 Body Weight Support Devices for Overground Gait and Balance Training
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    Chapter 34 Epilogue: Robots for Neurorehabilitation—The Debate
Attention for Chapter 23: Passive Devices for Upper Limb Training
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Chapter title
Passive Devices for Upper Limb Training
Chapter number 23
Book title
Neurorehabilitation Technology
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-08995-4_23
Book ISBNs
978-3-03-108994-7, 978-3-03-108995-4
Authors

Demers, Marika, Rowe, Justin, Prochazka, Arthur

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 10 48%
Student > Ph. D. Student 2 10%
Student > Bachelor 2 10%
Professor 1 5%
Researcher 1 5%
Other 0 0%
Unknown 5 24%
Readers by discipline Count As %
Unspecified 10 48%
Engineering 3 14%
Nursing and Health Professions 1 5%
Medicine and Dentistry 1 5%
Neuroscience 1 5%
Other 0 0%
Unknown 5 24%