Perturbation-evoked potentials can be classified from single-trial EEG.
J Neural Eng
; 17(3): 036008, 2020 06 02.
Article
em En
| MEDLINE
| ID: mdl-32299075
ABSTRACT
OBJECTIVE:
Loss of balance control can have serious consequences on interaction between humans and machines as well as the general well-being of humans. Perceived balance perturbations are always accompanied by a specific cortical activation, the so-called perturbation-evoked potential (PEP). In this study, we investigate the possibility to classify PEPs from ongoing EEG.APPROACH:
Fifteen healthy subjects were exposed to seated whole-body perturbations. Each participant performed 120 trials; they were rapidly tilted to the right and left, 60 times respectively. MAINRESULTS:
We achieved classification accuracies of more than 85% between PEPs and rest EEG using a window-based classification approach. Different window lengths and electrode layouts were compared. We were able to achieve excellent classification performance (87.6 ± 8.0% accuracy) by using a short window length of 200 ms and a minimal electrode layout consisting of only the Cz electrode. The peak classification accuracy coincides in time with the strongest component of PEPs, called N1.SIGNIFICANCE:
We showed that PEPs can be discriminated against ongoing EEG with high accuracy. These findings can contribute to the development of a system that can detect balance perturbations online.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Eletroencefalografia
/
Equilíbrio Postural
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article