Jose Luis Contreras-Vidal to Brain-Computer Interfaces
This is a "connection" page, showing publications Jose Luis Contreras-Vidal has written about Brain-Computer Interfaces.
Connection Strength
5.043
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At-Home Stroke Neurorehabilitation: Early Findings with the NeuroExo BCI System. Sensors (Basel). 2025 Feb 21; 25(5).
Score: 0.909
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Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study. J Neuroeng Rehabil. 2024 Apr 05; 21(1):48.
Score: 0.855
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Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer Interface. Sensors (Basel). 2023 Jun 26; 23(13).
Score: 0.810
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Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model. J Neural Eng. 2022 05 26; 19(3).
Score: 0.752
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Brain-machine interfaces for controlling lower-limb powered robotic systems. J Neural Eng. 2018 04; 15(2):021004.
Score: 0.564
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Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking. Sci Rep. 2017 08 21; 7(1):8895.
Score: 0.540
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Mobile brain imaging in butoh dancers: from rehearsals to public performance. BMC Neurosci. 2024 Nov 06; 25(1):62.
Score: 0.223
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Neural Decoding of Robot-Assisted Gait During Rehabilitation After Stroke. Am J Phys Med Rehabil. 2018 08; 97(8):541-550.
Score: 0.144
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A mobile brain-body imaging dataset recorded during treadmill walking with a brain-computer interface. Sci Data. 2018 04 24; 5:180074.
Score: 0.142
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Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:4127-4130.
Score: 0.105