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Correcting for ERP latency jitter improves gaze-independent BCI decoding.
J Neural Eng
July 2024
Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France.
Patients suffering from heavy paralysis or Locked-in-Syndrome can regain communication using a Brain-Computer Interface (BCI). Visual event-related potential (ERP) based BCI paradigms exploit visuospatial attention (VSA) to targets laid out on a screen. However, performance drops if the user does not direct their eye gaze at the intended target, harming the utility of this class of BCIs for patients suffering from eye motor deficits.
View Article and Find Full Text PDFImproving the performance of a gaze independent P300-BCI by using the expectancy wave.
J Neural Eng
April 2022
Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 30072, People's Republic of China.
A P300-brain computer interface (P300-BCI) conveys a subject's intention through recognition of their event-related potentials (ERPs). However, in the case of visual stimuli, its performance depends strongly on eye gaze. When eye movement is impaired, it becomes difficult to focus attention on a target stimulus, and the quality of the ERP declines greatly, thereby affecting recognition efficiency.
View Article and Find Full Text PDFSpatial localization in target detection based on decoding N2pc component.
J Neurosci Methods
March 2022
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing100071, China; Tianjin Artificial Intelligence Innovation Center (TAIIC),Tianjin 300450, China. Electronic address:
Background: The Gaze-independent BCI system is used to restore communication in patients with eye movement disorders. One available control mechanism is the utilization of spatial attention. However, spatial information is mostly used to simply answer the "True/False" target recognition question and is seldom used to improve the efficiency of target detection.
View Article and Find Full Text PDFToward an Attention-Based Diagnostic Tool for Patients With Locked-in Syndrome.
Clin EEG Neurosci
March 2018
1 Coma Science Group, GIGA-Research, CHU University Hospital of Liege, Liege, Belgium.
Electroencephalography (EEG) has been proposed as a supplemental tool for reducing clinical misdiagnosis in severely brain-injured populations helping to distinguish conscious from unconscious patients. We studied the use of spectral entropy as a measure of focal attention in order to develop a motor-independent, portable, and objective diagnostic tool for patients with locked-in syndrome (LIS), answering the issues of accuracy and training requirement. Data from 20 healthy volunteers, 6 LIS patients, and 10 patients with a vegetative state/unresponsive wakefulness syndrome (VS/UWS) were included.
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