Discover the Why of the Brain

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.

Applications

What Causes the "Stoke" in Surfing?

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.

Hardware

DSI Dry EEG

All of Wearable Sensing's Dry EEG systems can be utilized for Brain Computer Interfaces

NeuSenW High-Density EEG

All of Wearable Sensing's Wet EEG systems can be utilized for Brain Computer Interfaces

Software

SSVEP BCI Algorithms

Software platform that enables user friendly SSVEP paradigm for BCI applications and research of SSVEP

3rd Party Software's

BCILAB

Publications

18 entries « 2 of 2 »

2020

Son, Ji Eun; Choi, Hyoseon; Lim, Hyunmi; Ku, Jeonghun

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.

Abstract | Links | BibTeX

2019

Choi, Hyoseon; Lim, Hyunmi; Kim, Joon Woo; Kang, Youn Joo; Ku, Jeonghun

Brain computer interface-based action observation game enhances mu suppression in patients with stroke Journal Article

In: Electronics, vol. 8, no. 12, pp. 1466, 2019.

Abstract | Links | BibTeX

Goethem, Sander Van; Adema, Kimberly; van Bergen, Britt; Viaene, Emilia; Wenborn, Eva; Verwulgen, Stijn

A Test Setting to Compare Spatial Awareness on Paper and in Virtual Reality Using EEG Signals Conference

International Conference on Applied Human Factors and Ergonomics, Springer 2019.

Abstract | Links | BibTeX

Lim, Hyunmi; Ku, Jeonghun

Multiple-command single-frequency SSVEP-based BCI system using flickering action video Journal Article

In: Journal of Neuroscience Methods, vol. 314, pp. 21-27, 2019.

Abstract | Links | BibTeX

2018

Pereira, Arnaldo; Padden, Dereck; Jantz, Jay; Lin, Kate; Alcaide-Aguirre, Ramses

Cross-Subject EEG Event-Related Potential Classification for Brain-Computer Interfaces Using Residual Networks Journal Article

In: 2018.

Abstract | Links | BibTeX

Memmott, Tab; Eddy, Brandon; Dabiri, Sina; Erdogmus, Deniz; Fried-Oken, Melanie; Oken, Barry

Automated and self-report measures of drowsiness over successive calibrations in a brain-computer interface for communication Journal Article

In: Clinical Neurophysiology, vol. 129, pp. e61–e62, 2018.

Abstract | Links | BibTeX

2015

Kang, Dayoon; Kim, Jinsoo; Jang, Dong-Pyo; Cho, Yang Seok; Kim, Sung-Phil

Investigation of engagement of viewers in movie trailers using electroencephalography Journal Article

In: Brain-Computer Interfaces, vol. 2, no. 4, pp. 193–201, 2015.

Abstract | Links | BibTeX

2009

Sellers, Eric W; Turner, Peter; Sarnacki, William A; McManus, Tobin; Vaughan, Theresa M; Matthews, Robert

A Novel Dry Electrode for Brain-Computer Interface Conference

International Conference on Human-Computer Interaction, Springer 2009.

Abstract | Links | BibTeX

18 entries « 2 of 2 »

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