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Detection of intention of pedaling start cycle through EEG signals.

, , , , , и . EMBC, стр. 1496-1499. IEEE, (2016)

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Marisol Palma

Ari Ugarte

Rafael Ugarte Chacón

Marisol Cartagena González

Raquel Pozo Ugarte

 

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The Effect of tDCS on EEG-Based Functional Connectivity in Gait Motor Imagery., , , , , и . IWINAC (1), том 11486 из Lecture Notes in Computer Science, стр. 3-10. Springer, (2019)Analyzing electrode configurations to detect intention of pedaling initiation through EEG signals., , , и . SMC, стр. 1614-1619. IEEE, (2016)Using EEG Signals to Detect Different Surfaces While Walking., , , , и . IWINAC (2), том 10338 из Lecture Notes in Computer Science, стр. 109-114. Springer, (2017)Classification of Gait Motor Imagery While Standing Based on Electroencephalographic Bandpower., , , и . IWINAC (2), том 10338 из Lecture Notes in Computer Science, стр. 61-67. Springer, (2017)Effect on the classification of motor imagery in EEG after applying anodal tDCS with a 4×1 ring montage over the motor cortex., , , , и . ICORR, стр. 818-822. IEEE, (2017)Novel tDCS montage favors lower limb motor imagery detection., , , и . EMBC, стр. 2170-2173. IEEE, (2018)Comparison of different EEG signal analysis techniques for an offline lower limb motor imagery brain-computer interface., , , и . EMBC, стр. 203-206. IEEE, (2018)Detection of intention of pedaling start cycle through EEG signals., , , , , и . EMBC, стр. 1496-1499. IEEE, (2016)Empirical mode decomposition use in electroencephalography signal analysis for detection of starting and stopping intentions during gait cycle., , , и . RO-MAN, стр. 94-100. IEEE, (2017)Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent., , , и . Frontiers Neuroinformatics, (2017)