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Performance of EEG motor-imagery based spatial filtering methods : a BCI study on stroke patientsMiladinović, Aleksandar ...The study reports the performance of stroke patients to operate Motor-Imagery based Brain-Computer Interface (MIBCI) in early post-stroke neurorehabilitation and compares three different BCI spatial ... filtering techniques. The experiment was conducted on five stroke patients who performed a total of 15 MI-BCI sessions targeting paretic limbs. The EEG data were collected during the initial calibration phase of each session, and the individual BCI models were made by using Source Power CoModulation (SPoC), Spectrally weighted Common Spatial Patterns (SpecCSP), and Filter-Bank Common Spatial Patterns (FBCSP) BCI approaches.Source: Procedia computer science [Elektronski vir]. - ISSN 1877-0509 (Vol. 176, 2020, str. 2840-2848)Type of material - conference contributionPublish date - 2020Language - englishCOBISS.SI-ID - 31998467
Author
Miladinović, Aleksandar |
Ajčević, Miloš |
Jarmolowska, Joanna |
Marušič, Uroš |
Silveri, Giulia |
Battaglini, Piero Paolo |
Accardo, Agostino
Topics
BCI |
motor-imagery |
MI-BCI |
stroke |
neurorehabilitation
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Miladinović, Aleksandar | 55528 |
Ajčević, Miloš | ![]() |
Jarmolowska, Joanna | 51119 |
Marušič, Uroš | 34516 |
Silveri, Giulia | ![]() |
Battaglini, Piero Paolo | ![]() |
Accardo, Agostino | ![]() |
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