Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent-Reference-Cited by-同舟云学术

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Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent

Published:2017-07-11 Issue: Volume:11 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Rodríguez-Ugarte Marisol,Iáñez Eduardo,Ortíz Mario,Azorín Jose M.

Funder

Ministerio de Economía y Competitividad

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference31 articles.

1. Electrophysiological correlates of sleep delta waves;Amzica;Electroencephalogr. Clin. Neurophysiol.,1998

2. Brain-computer interface in stroke rehabilitation;Ang;J. Comput. Sci. Eng.,2013

3. Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG;Bai;Clin. Neurophysiol.,2007

4. Prediction of human voluntary movement before it occurs;Bai;Clin. Neurophysiol.,2011

5. Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke;Bhagat,2014

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2. Pseudo-online framework for BCI evaluation: a MOABB perspective using various MI and SSVEP datasets;Journal of Neural Engineering;2024-01-12

3. Iteratively Calibratable Network for Reliable EEG-Based Robotic Arm Control;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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