Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjectsReport as inadecuate




Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjects - Download this document for free, or read online. Document in PDF available to download.

BioMedical Engineering OnLine

, 10:91

First Online: 12 October 2011Received: 28 June 2011Accepted: 12 October 2011

Abstract

BackgroundThe subjects in EEG-Brain computer interface BCI system experience difficulties when attempting to obtain the consistent performance of the actual movement by motor imagery alone. It is necessary to find the optimal conditions and stimuli combinations that affect the performance factors of the EEG-BCI system to guarantee equipment safety and trust through the performance evaluation of using motor imagery characteristics that can be utilized in the EEG-BCI testing environment.

MethodsThe experiment was carried out with 10 experienced subjects and 32 naive subjects on an EEG-BCI system. There were 3 experiments: The experienced homogeneous experiment, the naive homogeneous experiment and the naive heterogeneous experiment. Each experiment was compared in terms of the six audio-visual cue combinations and consisted of 50 trials. The EEG data was classified using the least square linear classifier in case of the naive subjects through the common spatial pattern filter. The accuracy was calculated using the training and test data set. The p-value of the accuracy was obtained through the statistical significance test.

ResultsIn the case in which a naive subject was trained by a heterogeneous combined cue and tested by a visual cue, the result was not only the highest accuracy p < 0.05 but also stable performance in all experiments.

ConclusionsWe propose the use of this measuring methodology of a heterogeneous combined cue for training data and a visual cue for test data by the typical EEG-BCI algorithm on the EEG-BCI system to achieve effectiveness in terms of consistence, stability, cost, time, and resources management without the need for a trial and error process.

KeywordsEEG Brain Computer Interface Motor Imagery Heterogeneous and Homogeneous Combined Cue Electronic supplementary materialThe online version of this article doi:10.1186-1475-925X-10-91 contains supplementary material, which is available to authorized users.

Donghag Choi, Yeonsoo Ryu, Youngbum Lee contributed equally to this work.

Download fulltext PDF



Author: Donghag Choi - Yeonsoo Ryu - Youngbum Lee - Myoungho Lee

Source: https://link.springer.com/







Related documents