Computational Intelligence and Game Design for Effective At-Home Stroke Rehabilitation-Reference-Cited by-同舟云学术

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Computational Intelligence and Game Design for Effective At-Home Stroke Rehabilitation

Published:2013-04 Issue:2 Volume:2 Page:81-88
ISSN:2161-783X
Container-title:Games for Health Journal
language:en
Short-container-title:Games for Health Journal

Author:

Borghese Nunzio Alberto¹,Pirovano Michele¹²,Lanzi Pier Luca²,Wüest Seline³,de Bruin Eling D.³

Affiliation:

1. Department of Computer Science, University of Milan, Milan, Italy.

2. Dipartimento di Elettronica, Informazione e Bioingegneria - Politecnico di Milano, Milan, Italy.

3. Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.

Publisher

Mary Ann Liebert Inc

Subject

Public Health, Environmental and Occupational Health,Computer Science Applications,Rehabilitation,Health(social science)

Link

http://www.liebertpub.com/doi/pdf/10.1089/g4h.2012.0073

Reference16 articles.

1. Optimising engagement for stroke rehabilitation using serious games

2. Virtual reality-enhanced stroke rehabilitation

3. Use of virtual reality technique for the training of motor control in the elderly

Cited by 81 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interactive Electronic Pegboard for Enhancing Manual Dexterity and Cognitive Abilities: Instrument Usability Study;JMIR Human Factors;2024-06-21

2. The Age-Reward Perspective: A Systematic Review of Reward Mechanisms in Serious Games for Older People;ACM International Conference on Interactive Media Experiences;2024-06-07

3. Interactive Electronic Pegboard for Enhancing Manual Dexterity and Cognitive Abilities: Instrument Usability Study (Preprint);2024-01-14

4. An Expert-Knowledge-Based Graph Convolutional Network for Skeleton- Based Physical Rehabilitation Exercises Assessment;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

5. Exploring the Impact of an Interactive Electronic Pegboard on Manual Dexterity and Cognitive Skills of Stroke Patients: A Preliminary Analysis (Preprint);JMIR Rehabilitation and Assistive Technologies;2023-12-14

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