BMI Systems Lab

BMI Systems Lab

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BMI Systems Lab of Miguel Hernández University
http://bmi.umh.es/ The Brain-Machine Interface Lab is a team of researchers led by José María Azorín.

05/06/2024

Nuestro compañero Eduardo Iáñez ha presentado un trabajo de nuestro grupo en el marco del proyecto nacional ReGAIT en el Simposio de Robótica, Bioingeniería y Visión por Computador celebrado en Badajoz del 29 al 31 de mayo de 2025.
https://eventos.unex.es/event_detail/107983/detail/simposio-de-robotica-biongenieria-y-vision-por-computador-2024.html

Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet 07/03/2024

We've just published a new paper about a novel approach for decoding motor imagery during pedaling tasks using EEG signals. Great collaboration between BMI Systems Lab and Hospital Los Madroños

Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet IntroductionIn recent years, the decoding of motor imagery (MI) from electroencephalography (EEG) signals has become a focus of research for brain-machine interfaces (BMIs) and neurorehabilitation. However, EEG signals present challenges due to their non-stationarity and the substantial presence of....

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