|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'504'928
Articles rated: 2609
25 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Online asynchronous detection of error-related potentials in participants with spinal cord injury by adapting a pre-trained generic classifier | | Catarina Lopes-Dias
; Andreea I. Sburlea
; Katharina Breitegger
; Daniela Wyss
; Harald Drescher
; Renate Wildburger
; Gernot R. Muller-Putz
; | | Date: |
26 Nov 2020 | | Abstract: | A BCI user awareness of an error is associated with a cortical signature
named error-related potential (ErrP). The incorporation of ErrPs’ detection in
BCIs can improve BCIs’ performance.
This work is three-folded. First, we investigate if an ErrP classifier is
transferable from able-bodied participants to participants with spinal cord
injury (SCI). Second, we test this generic ErrP classifier with SCI and control
participants, in an online experiment without offline calibration. Third, we
investigate the morphology of ErrPs in both groups of participants.
We used previously recorded electroencephalographic (EEG) data from
able-bodied participants to train an ErrP classifier. We tested the classifier
asynchronously, in an online experiment with 16 new participants: 8
participants with SCI and 8 able-bodied control participants. The experiment
had no offline calibration and participants received feedback regarding the
ErrPs’ detection from its start. The generic classifier was not trained with
the user’s brain signals. Still, its performance was optimized during the
online experiment with the use of personalized decision thresholds.
Participants with SCI presented a non-homogenous ErrP morphology, and four of
them did not present clear ErrP signals. The generic classifier performed above
chance level in participants with clear ErrP signals, independently of the SCI
(11 out of 16 participants). Three out of the five participants that obtained
chance level results with the generic classifier would have not benefited from
the use of a personalized classifier.
This work shows the feasibility of transferring an ErrP classifier from
able-bodied participants to participants with SCI, for asynchronous detection
of ErrPs in an online experiment without offline calibration, which provided
immediate feedback to the users. | | Source: | arXiv, 2011.13347 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER