Speaking and cognitive distractions during EEG-based brain control of a virtual neuroprosthesis-arm

• Published in: Journal of neuroengineering and rehabilitation Vol. 10; no. 1; p. 116
• Main Authors: Foldes, Stephen T, Taylor, Dawn M
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 21.12.2013; BioMed Central
• Subjects: Arm; Attention - physiology; Brain; Brain - physiology; Brain-Computer Interfaces; Cognition; Electroencephalography; Humans; Neural prostheses; Physiological aspects; Prostheses and Implants; Short Report; User-Computer Interface; United States
• ISSN: 1743-0003; 1743-0003
• DOI: 10.1186/1743-0003-10-116

Brain-computer interface (BCI) systems have been developed to provide paralyzed individuals the ability to command the movements of an assistive device using only their brain activity. BCI systems are typically tested in a controlled laboratory environment were the user is focused solely on the brain-control task. However, for practical use in everyday life people must be able to use their brain-controlled device while mentally engaged with the cognitive responsibilities of daily activities and while compensating for any inherent dynamics of the device itself. BCIs that use electroencephalography (EEG) for movement control are often assumed to require significant mental effort, thus preventing users from thinking about anything else while using their BCI. This study tested the impact of cognitive load as well as speaking on the ability to use an EEG-based BCI. Six participants controlled the two-dimensional (2D) movements of a simulated neuroprosthesis-arm under three different levels of cognitive distraction. The two higher cognitive load conditions also required simultaneously speaking during BCI use. On average, movement performance declined during higher levels of cognitive distraction, but only by a limited amount. Movement completion time increased by 7.2%, the percentage of targets successfully acquired declined by 11%, and path efficiency declined by 8.6%. Only the decline in percentage of targets acquired and path efficiency were statistically significant (p < 0.05). People who have relatively good movement control of an EEG-based BCI may be able to speak and perform other cognitively engaging activities with only a minor drop in BCI-control performance.