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Content Provider | IEEE Xplore Digital Library |
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Author | Chavarriaga, R. Iturrate, I. Wannebroucq, Q. Del Millan, J.R. |
Copyright Year | 2015 |
Description | Author affiliation: Center for Neuroprosthetics, Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland (Chavarriaga, R.; Iturrate, I.; Wannebroucq, Q.; Del Millan, J.R.) |
Abstract | Error-related EEG potentials (ErrP) can be used for brain-machine interfacing (BMI). Decoding of these signals, indicating subject's perception of erroneous system decisions or actions can be used to correct these actions or to improve the overall interfacing system. Multiple studies have shown the feasibility of decoding these potentials in single-trial using different types of experimental protocols and feedback modalities. However, previously reported approaches are limited by the use of long inter-stimulus intervals (ISI > 2 s). In this work we assess if it is possible to overcome this limitation. Our results show that it is possible to decode error-related potentials elicited by stimuli presented with ISIs lower than 1 s without decrease in performance. Furthermore, the increase in the presentation rate did not increase the subject workload. This suggests that the presentation rate for ErrP-based BMI protocols using serial monitoring paradigms can be substantially increased with respect to previous works. |
Starting Page | 1111 |
Ending Page | 1114 |
File Size | 1102279 |
Page Count | 4 |
File Format | |
ISSN | 1557170X |
e-ISBN | 9781424492718 |
DOI | 10.1109/EMBC.2015.7318560 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-08-25 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Protocols Electroencephalography Decoding Monitoring Electrodes Brain-computer interfaces Visualization |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Health Informatics Signal Processing Biomedical Engineering |
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