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Somatosensory & Motor Research Volume 29, 2012 - Issue 3
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Research Article

The comparison of motor learning performance with and without feedback

Abbas OrandDepartment of Applied Physics and Physico-Informatics, Honda Laboratory, Keio University, Yokohama, Japan;Rehabilitation Division of Fujita Memorial Nanakuri Institute, Fujita Health University, Tsu, JapanCorrespondence[email protected]
,
Junichi UshibaDepartment of Bio-informatics, Biomedical Engineering Laboratory, Keio University, Yokohama, Japan
,
Yutaka TomitaRehabilitation Division of Fujita Memorial Nanakuri Institute, Fujita Health University, Tsu, Japan
&
Satoashi HondaDepartment of Applied Physics and Physico-Informatics, Honda Laboratory, Keio University, Yokohama, Japan
Pages 103-110 | Received 23 Sep 2011, Accepted 26 Mar 2012, Published online: 02 Jul 2012

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Abbas Orand, Hiroyuki Miyasaka, Yutaka Tomita, Genichi Tanino & Shigeru Sonoda. (2014) Energy analysis reveals the negative effect of delays in passive movement mirror therapy. Somatosensory & Motor Research 31:2, pages 72-77.
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Articles from other publishers (8)

Anne-Laure Guinet, Guillaume Bouyer, Samir Otmane & Eric Desailly. (2022) Visual Feedback in Augmented Reality to Walk at Predefined Speed Cross-Sectional Study Including Children With Cerebral Palsy. IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, pages 2322-2331.
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Sadaf Khademi, Mehrnoosh Neghabi, Morteza Farahi, Mehdi Shirzadi & Hamid Reza Marateb. 2022. Artificial Intelligence-Based Brain-Computer Interface. Artificial Intelligence-Based Brain-Computer Interface 23 74 .
Anne-Laure Guinet, Guillaume Bouyer, Samir Otmane & Eric Desailly. (2020) Towards an AR game for walking rehabilitation: Preliminary study of the impact of augmented feedback modalities on walking speed. Towards an AR game for walking rehabilitation: Preliminary study of the impact of augmented feedback modalities on walking speed.
Madiha Tariq, Pavel M. Trivailo & Milan Simic. (2020) Mu-Beta event-related (de)synchronization and EEG classification of left-right foot dorsiflexion kinaesthetic motor imagery for BCI. PLOS ONE 15:3, pages e0230184.
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Madiha Tariq, Pavel M Trivailo & Milan Simic. (2019) Classification of left and right foot kinaesthetic motor imagery using common spatial pattern. Biomedical Physics & Engineering Express 6:1, pages 015008.
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Winko W. An, Kin-Hung Ting, Ivan P. H. Au, Janet H. Zhang, Zoe Y. S. Chan, Irene S. Davis, Winnie K. Y. So, Rosa H. M. Chan & Roy T. H. Cheung. (2019) Neurophysiological Correlates of Gait Retraining With Real-Time Visual and Auditory Feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering 27:6, pages 1341-1349.
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Minji Lee, Chang-hyun Park, Chang-Hwan Im, Jung-Hoon Kim, Gyu-Hyun Kwon, Laehyun Kim, Won Hyuk Chang & Yun-Hee Kim. (2016) Motor imagery learning across a sequence of trials in stroke patients. Restorative Neurology and Neuroscience 34:4, pages 635-645.
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Yasunari Hashimoto & Junichi Ushiba. (2013) EEG-based classification of imaginary left and right foot movements using beta rebound. Clinical Neurophysiology 124:11, pages 2153-2160.
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