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Št. zadetkov: 2
ǂA ǂdata-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics
Arnau Dillen, Elke Lathouwers, Aleksandar Miladinović, Uroš Marušič, Fakhredinne Ghaffari, Olivier Romain, Romain Meeusen, Kevin De Pauw
Izvirni znanstveni članek
Oznake: nevroprostetika;učenje na podlagi podatkov;amputacija spodnjega uda;neuroprosthetics;brain-computer interface;machine learning;electroencephalography;data-driven learning;lower limb amputation;
Prosthetic devices that replace a lost limb have become increasingly performant in recent years. Recent advances in both software and hardware allow for the decoding of electroencephalogram (EEG) signals to improve the control of active prostheses with brain-computer interfaces (BCI). Most BCI resea ...
Leto: 2022 Vir: Repozitorij Univerze na Primorskem (RUP)
Optimal sensor set for decoding motor imagery from EEG
Arnau Dillen, Fakhredinne Ghaffari, Olivier Romain, Bram Vanderborght, Uroš Marušič, Sidney Grosprêtre, Ann Nowé, Romain Meeusen, Kevin De Pauw
Izvirni znanstveni članek
Oznake: vmesnik možgani-računalniki;gibalne predstave;brain-computer interface;motor imagery;feature reduction;electroencephalogram;machine learning;
Brain–computer interfaces (BCIs) have the potential to enable individuals to interact with devices by detecting their intention from brain activity. A common approach to BCI is to decode movement intention from motor imagery (MI), the mental representation of an overt action. However, research-grade ...
Leto: 2023 Vir: Univerza na Primorskem (UP)
Št. zadetkov: 2
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