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1.
Neuroscience Bulletin ; (6): 679-690, 2018.
Article in English | WPRIM (Western Pacific) | ID: wpr-775505

ABSTRACT

Visual fixation is an item in the visual function subscale of the Coma Recovery Scale-Revised (CRS-R). Sometimes clinicians using the behavioral scales find it difficult to detect because of the motor impairment in patients with disorders of consciousness (DOCs). Brain-computer interface (BCI) can be used to improve clinical assessment because it directly detects the brain response to an external stimulus in the absence of behavioral expression. In this study, we designed a BCI system to assist the visual fixation assessment of DOC patients. The results from 15 patients indicated that three showed visual fixation in both CRS-R and BCI assessments and one did not show such behavior in the CRS-R assessment but achieved significant online accuracy in the BCI assessment. The results revealed that electroencephalography-based BCI can detect the brain response for visual fixation. Therefore, the proposed BCI may provide a promising method for assisting behavioral assessment using the CRS-R.


Subject(s)
Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Brain , Brain-Computer Interfaces , Consciousness Disorders , Diagnosis , Diagnosis, Computer-Assisted , Methods , Electroencephalography , Methods , Evoked Potentials , Fixation, Ocular , Physiology , Neurologic Examination , Pilot Projects , Severity of Illness Index , User-Computer Interface
2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2017: 1006-1009, 2017 Jul.
Article in English | MEDLINE | ID: mdl-29060044

ABSTRACT

In this study, we propose a new web browser based on a hybrid brain computer interface (BCI) combining electroencephalographic (EEG) and electrooculography (EOG) signals. Specifically, the user can control the horizontal movement of the mouse by imagining left/right hand motion, and control the vertical movement of the mouse, select/reject a target, or input text in an edit box by blinking eyes in synchrony with the flashes of the corresponding buttons on the GUI. Based on mouse control, target selection and text input, the user can open a web page of interest, select an intended target in the web and read the page content. An online experiment was conducted involving five healthy subjects. The experimental results demonstrated the effectiveness of the proposed method.


Subject(s)
Electroencephalography , Electrooculography , Brain , Brain-Computer Interfaces , Movement , User-Computer Interface , Web Browser
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