Decoding kinetic features of hand motor preparation from single-trial EEG using convolutional neural networks

Autor: Yanina Atum, Ramiro Gatti, Mads Jochumsen, José Biurrun Manresa, Luciano Schiaffino

Publikováno v: Gatti, R, Atum, Y, Schiaffino, L, Jochumsen, M & Biurrun Manresa, J 2021, ' Decoding kinetic features of hand motor preparation from single-trial EEG using convolutional neural networks ', European Journal of Neuroscience, vol. 53, no. 2, pp. 556-570 . https://doi.org/10.1111/ejn.14936

Building accurate movement decoding models from brain signals is crucial for many biomedical applications. Predicting specific movement features, such as speed and force, before movement execution may provide additional useful information at the expe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2400a31defa361ffb0bcbb3c574df027
https://vbn.aau.dk/ws/files/339258971/Decoding_kinetic_features_of_hand_motor.pdf

Prediction of Hand Movement Speed and Force from Single-trial EEG with Convolutional Neural Networks

Autor: José Biurrun Manresa, Ramiro Gatti, Yanina Atum, Luciano Schiaffino, Mads Jochumsen

Building accurate movement decoding models from brain signals is crucial for many biomedical applications. Decoding specific movement features, such as speed and force, may provide additional useful information at the expense of increasing the comple

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b569ef5bccf0ab8209e1885ea232b61b
https://doi.org/10.1101/492660