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Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson’s disease patients [Elektronski vir]Miladinović, Aleksandar ...The study reports the performance of Parkinson's disease (PD) patients to operate Motor-Imagery based Brain-Computer Interface (MI-BCI) and compares three selected pre-processing and classification ... approaches. The experiment was conducted on 7 PD patients who performed a total of 14 MI-BCI sessions targeting lower extremities. EEG was recorded during the initial calibration phase of each session, and the specific BCI models were produced by using Spectrally weighted Common Spatial Patterns (SpecCSP), Source Power Comodulation (SPoC) and Filter-Bank Common Spatial Patterns (FBCSP) methods. The results showed that FBCSP outperformed SPoC in terms of accuracy, and both SPoC and SpecCSP in terms of the false-positive ratio. The study also demonstrates that PD patients were capable of operating MI-BCI, although with lower accuracy.Source: 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society [Elektronski vir] : [digital proceedings] (Str. 3058-3061)Type of material - conference contribution ; adult, seriousPublish date - 2020Language - englishCOBISS.SI-ID - 104060419
Author
Miladinović, Aleksandar |
Ajčević, Miloš |
Busan, Pierpaolo |
Jarmolowska, Joanna |
Silveri, Giulia |
Deodato, Manuela |
Mezzarobba, Susanna
Topics
Parkinsonova bolezen |
Elektroencefalografija |
možgansko-računalniški vmesnik |
gibalne predstave |
brain-computer interface |
EEG |
motor imagery |
Parkinson's disease
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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 | |
Busan, Pierpaolo | |
Jarmolowska, Joanna | 51119 |
Silveri, Giulia | |
Deodato, Manuela | |
Mezzarobba, Susanna |
Source: Personal bibliographies
and: SICRIS
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