TY - GEN
T1 - Adaptive Brain-Computer Interface with Attention Alterations in Patients with Amyotrophic Lateral Sclerosis
AU - Aliakbaryhosseinabadi, S.
AU - Mrachacz-Kersting, N.
PY - 2020/7
Y1 - 2020/7
N2 - The users' mental state such as attention variations can have an effect on the brain-computer interface (BCI) performance. In this project, we implemented an adaptive online BCI system with alterations in the users' attention. Twelve electroencephalography (EEG) signals were obtained from six patients with Amyotrophic Lateral Sclerosis (ALS). Participants were asked to execute 40 trials of ankle dorsiflexion concurrently with an auditory oddball task. EEG channels, classifiers and features with superior offline performance in the training phase of the classification of attention level were selected to use in the online mode for prediction the attention status. A feedback was provided to the users to reduce the amount of attention diversion created by the oddball task. The findings revealed that the users' attention can control an online BCI system and real-time neurofeedback can be applied to focus the attention of the user back onto the main task.
AB - The users' mental state such as attention variations can have an effect on the brain-computer interface (BCI) performance. In this project, we implemented an adaptive online BCI system with alterations in the users' attention. Twelve electroencephalography (EEG) signals were obtained from six patients with Amyotrophic Lateral Sclerosis (ALS). Participants were asked to execute 40 trials of ankle dorsiflexion concurrently with an auditory oddball task. EEG channels, classifiers and features with superior offline performance in the training phase of the classification of attention level were selected to use in the online mode for prediction the attention status. A feedback was provided to the users to reduce the amount of attention diversion created by the oddball task. The findings revealed that the users' attention can control an online BCI system and real-time neurofeedback can be applied to focus the attention of the user back onto the main task.
UR - http://www.scopus.com/inward/record.url?scp=85091041294&partnerID=8YFLogxK
U2 - 10.1109/EMBC44109.2020.9175997
DO - 10.1109/EMBC44109.2020.9175997
M3 - Article in proceeding
AN - SCOPUS:85091041294
SN - 978-1-7281-1991-5
T3 - I E E E Engineering in Medicine and Biology Society. Conference Proceedings
SP - 3188
EP - 3191
BT - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
PB - IEEE
T2 - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
Y2 - 20 July 2020 through 24 July 2020
ER -