EEG-based Brain-Computer Interfaces (BCI) is a non-invasive technique used to translate brain activity to commands that control an effector (such as a computer keyboard, mouse, etc). Many patients who cannot communicate effectively, such as those who have suffered from a stroke, locked-in syndrome, or other neurodegenerative diseases, rely on BCI’s to stay connected. A few of the most common types of BCI’s modalities are P300, SSVEP, slow cortical potentials, and sensorimotor rhythms. With Wearable Sensing’s revolutionary dry EEG technology, nearly any type of BCI is possible with our research-grade signal quality. Since DSI systems are extremely easy to use and comfortable, this has opened the door to translating a wide range of BCI applications to the real- and virtual- worlds.
P300, otherwise known as the oddball paradigm, is an event-related potential (ERP) in which the brain elicits a unique response roughly 300ms after an “odd” stimulus is presented. This response can be decoded and classified in real-time for a variety of different applications.
One such use case is known as a P300 speller, in which a series of letters are flashed on a screen, and when the “target” letter pops up, our brain has the P300 response, which can then be transformed into a letter selection.
Betts Peters, Dr. Melanie Fried-Oken, and their team at Oregon Health & Science University have developed a P300 speller using the DSI-24, and have validated its functionality on subjects with Locked-In syndrome.
Development of a flickering action video based steady state visual evoked potential triggered brain computer interface-functional electrical stimulation for a rehabilitative action observation game Journal Article
In: Technology and Health Care, vol. 28, no. S1, pp. 509-519, 2020.
In: Electronics, vol. 8, no. 12, pp. 1466, 2019.
International Conference on Applied Human Factors and Ergonomics, Springer 2019.
In: Journal of Neuroscience Methods, vol. 314, pp. 21-27, 2019.
In: Clinical Neurophysiology, vol. 129, pp. e61–e62, 2018.
In: Brain-Computer Interfaces, vol. 2, no. 4, pp. 193–201, 2015.
International Conference on Human-Computer Interaction, Springer 2009.
Please fill out the form and provide a brief description of your application so we can help match you with products that will meet your specific needs.