User training for machine learning controlled upper limb prostheses: a serious game approach
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Title
User training for machine learning controlled upper limb prostheses: a serious game approach
Authors
Keywords
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Journal
Journal of NeuroEngineering and Rehabilitation
Volume 18, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-02-13
DOI
10.1186/s12984-021-00831-5
References
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Related references
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- (2019) Andreas W. Franzke et al. PLoS One
- The Effect of Feedback During Training Sessions on Learning Pattern-Recognition-Based Prosthesis Control
- (2019) Morten B. Kristoffersen et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Looking beyond proportional control: The relevance of mode switching in learning to operate multi-articulating myoelectric upper-limb prostheses
- (2019) Anniek Heerschop et al. Biomedical Signal Processing and Control
- Evaluation of Myoelectric Control Learning using Multi-Session Game-Based Training
- (2018) Aaron Tabor et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control
- (2018) Linda Resnik et al. Journal of NeuroEngineering and Rehabilitation
- PlayBionic: Game-Based Interventions to Encourage Patient Engagement and Performance in Prosthetic Motor Rehabilitation
- (2018) Cosima Prahm et al. PM&R
- Development of an EMG-based exergaming system for isometric muscle training and its effectiveness to enhance motivation, performance and muscle strength
- (2018) Nadia Garcia-Hernandez et al. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
- The Southampton Hand Assessment Procedure revisited: A transparent linear scoring system, applied to data of experienced prosthetic users
- (2017) Johannes G.M. Burgerhof et al. Journal of Hand Therapy
- Ranking hand movements for myoelectric pattern recognition considering forearm muscle structure
- (2017) Youngjin Na et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Task-Oriented Gaming for Transfer to Prosthesis Use
- (2016) Ludger van Dijk et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Self-Correcting Pattern Recognition System of Surface EMG Signals for Upper Limb Prosthesis Control
- (2014) Sebastian Amsuss et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- User Training for Pattern Recognition-Based Myoelectric Prostheses: Improving Phantom Limb Movement Consistency and Distinguishability
- (2013) Michael A. Powell et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Exergaming for balance training of elderly: state of the art and future developments
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- Movement characteristics of upper extremity prostheses during basic goal-directed tasks
- (2010) Hanneke Bouwsema et al. CLINICAL BIOMECHANICS
- Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms
- (2009) Todd A. Kuiken JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
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