Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System
Joint Authors
Belkacem, Abdelkader Nasreddine
Chen, Chao
Gao, Qiang
Dou, Lixiang
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A novel hybrid brain-computer interface (BCI) based on the electroencephalogram (EEG) signal which consists of a motor imagery- (MI-) based online interactive brain-controlled switch, “teeth clenching” state detector, and a steady-state visual evoked potential- (SSVEP-) based BCI was proposed to provide multidimensional BCI control.
MI-based BCI was used as single-pole double throw brain switch (SPDTBS).
By combining the SPDTBS with 4-class SSEVP-based BCI, movement of robotic arm was controlled in three-dimensional (3D) space.
In addition, muscle artifact (EMG) of “teeth clenching” condition recorded from EEG signal was detected and employed as interrupter, which can initialize the statement of SPDTBS.
Real-time writing task was implemented to verify the reliability of the proposed noninvasive hybrid EEG-EMG-BCI.
Eight subjects participated in this study and succeeded to manipulate a robotic arm in 3D space to write some English letters.
The mean decoding accuracy of writing task was 0.93±0.03.
Four subjects achieved the optimal criteria of writing the word “HI” which is the minimum movement of robotic arm directions (15 steps).
Other subjects had needed to take from 2 to 4 additional steps to finish the whole process.
These results suggested that our proposed hybrid noninvasive EEG-EMG-BCI was robust and efficient for real-time multidimensional robotic arm control.
American Psychological Association (APA)
Gao, Qiang& Dou, Lixiang& Belkacem, Abdelkader Nasreddine& Chen, Chao. 2017. Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System. BioMed Research International،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1139039
Modern Language Association (MLA)
Gao, Qiang…[et al.]. Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System. BioMed Research International No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1139039
American Medical Association (AMA)
Gao, Qiang& Dou, Lixiang& Belkacem, Abdelkader Nasreddine& Chen, Chao. Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1139039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139039