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.

Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson's Disease patients

Miladinovic Aleksandar;Ajcevic M.;Busan P.;Jarmolowska J.;Silveri G.;Deodato M.;Mezzarobba S.;Battaglini P. P.;Accardo A.
2020-01-01

Abstract

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.
2020
978-1-7281-1990-8
https://ieeexplore.ieee.org/document/9176651
File in questo prodotto:
File Dimensione Formato  
Evaluation of Motor Imagery-Based BCI.pdf

Accesso chiuso

Tipologia: Documento in Versione Editoriale
Licenza: Copyright Editore
Dimensione 306.73 kB
Formato Adobe PDF
306.73 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Locandina congresso.pdf

Accesso chiuso

Descrizione: locandina congresso
Tipologia: Altro materiale allegato
Licenza: Copyright Editore
Dimensione 2.13 MB
Formato Adobe PDF
2.13 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Miladinovic2020_Evaluation_of_Motor_Imagery_BCI_neurrehab_PDs_AcceptedManuscript.pdf

accesso aperto

Descrizione: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Link to publisher's version: https://doi.org/10.1109/EMBC44109.2020.9176651
Tipologia: Bozza finale post-referaggio (post-print)
Licenza: Copyright Editore
Dimensione 645.93 kB
Formato Adobe PDF
645.93 kB Adobe PDF Visualizza/Apri
11368_2972559_print.pdf

accesso aperto

Tipologia: Bozza finale post-referaggio (post-print)
Licenza: Digital Rights Management non definito
Dimensione 858.29 kB
Formato Adobe PDF
858.29 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2972559
Citazioni
  • ???jsp.display-item.citation.pmc??? 2
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 8
social impact