Publication year
2013Number of pages
12 p.
Source
Journal of Neural Engineering, 10, 2, (2013), article 026005ISSN
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
SW OZ DCC AI
Rehabilitation
Journal title
Journal of Neural Engineering
Volume
vol. 10
Issue
iss. 2
Languages used
English (eng)
Subject
Cognitive artificial intelligence; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication; NCEBP 10: Human Movement & Fatigue DCN PAC - Perception action and controlAbstract
Objective. The aim of this paper was to increase the information transfer in brain-computer interfaces (BCI). Therefore, a multi-signature BCI was developed and investigated. Stimuli were designed to simultaneously evoke transient somatosensory event-related potentials (ERPs) and steady-state somatosensory potentials (SSSEPs) and the ERPs and SSSEPs in isolation. Approach. Twelve subjects participated in two sessions. In the first session, the single and combined stimulation conditions were compared on these somatosensory responses and on the classification performance. In the second session the on-line performance with the combined stimulation was evaluated while subjects received feedback. Furthermore, in both sessions, the performance based on ERP and SSSEP features was compared. Main results. No difference was found in the ERPs and SSSEPs between stimulation conditions. The combination of ERP and SSSEP features did not perform better than with ERP features only. In both sessions, the classification performances based on ERP and combined features were higher than the classification based on SSSEP features. Significance. Although the multi-signature BCI did not increase performance, it also did not negatively impact it. Therefore, such stimuli could be used and the best performing feature set could then be chosen individually.
This item appears in the following Collection(s)
- Academic publications [227881]
- Faculty of Medical Sciences [86219]
- Faculty of Social Sciences [28470]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.