Recent advances in Brain-Computer Interfaces from braintech.pl

• Autorzy: Chabuda A. , Dovgialo M. , Rozanski P. , Wieteska M. , Pawlisz M. , Duszyk A. , Zygierewicz J. , Rudkiewicz T. , Durka P.
• Języki publikacji: EN

Abstrakty

EN

Brain Computer Interface (BCI) is a system that al‑ lows communication without the mediation of muscles, using only brain waves. This technology passed from science-fiction to the laboratory decades ago, but real world applications, in fields from gaming and military to assistive technologies and consciousness assess‑ ment, are still operating at the proof of concept level. To change this landscape, building on a strong academic background, BrainTech Ltd. (http://braintech.pl) is pur‑ suing a project to create stable, robust, and usable BCI technologies, ready for the above mentioned real world applications. Software includes stable implementations of the major paradigms: P300 evoked potentials (visu‑ al and auditory), steady-state visual evoked potentials (SSVEP), and motor imagery. Features aimed at increas‑ ing productivity in both academic and practical appli‑ cations include the “BCI Control Panel”(*), which helps either the experimenter or caregiver in the setup and online control of the BCI session by displaying, for ex‑ ample, electrode impedances and online performance. Several indicators like accuracy or information transfer rate can be stored together with the signal, facilitating offline scientific analysis. Hardware systems include: (1) comfortable headcap with water-based electrodes, offering high quality signal without application of con‑ ducting gel, which normally requires washing hair after each EEG session, (2) 8-channel 24-bit wireless EEG am‑ plifier, offering online monitoring of electrode contacts and Gigaohm input impedance, either integrated into the headcap or offering connectors for standard EEG electrodes, (3) next generation of the “BCI Appliance”* – a dedicated hardware renderer for flexible stimuli for high-frequency SSVEP, first presented at CeBIT in 2012 as a base for the fastest BCI presented at this fair. (*“BCI Control Panel” and “BCI Appliance” are trademarks filed for protection to the Polish Patent Office). Demo of the discussed systems will be available in the presentation accompanying the Conference. The lecture will briefly discuss new research possibilities opened by the “BCI Appliance”, comfort of application of the novel EEG headcap, and facilitation of both real world BCI applica‑ tions and scientific research brought about by the pre‑ sented software.

• Wydawca: -
• Czasopismo: Acta Neurobiologiae Experimentalis
• Rocznik: 2018
• Tom: 78
• Numer: Suppl.1
• Opis fizyczny: p.21

Twórcy

autor

Chabuda A.

• BrainTech Ltd, Jeziorna 23, 02‑911 Warsaw, Poland
• Faculty of Physics, University of Warsaw, Warsaw, Poland

autor

Dovgialo M.

• BrainTech Ltd, Jeziorna 23, 02‑911 Warsaw, Poland
• Faculty of Physics, University of Warsaw, Warsaw, Poland

autor

Rozanski P.

• BrainTech Ltd, Jeziorna 23, 02‑911 Warsaw, Poland
• College of Inter‑Faculty Individual Studies in Mathematics and Natural Sciences (MISMaP), University of Warsaw, Warsaw, Poland

autor

Wieteska M.

• BrainTech Ltd, Jeziorna 23, 02‑911 Warsaw, Poland
• Warsaw University of Technology, Warsaw, Poland

autor

Pawlisz M.

• BrainTech Ltd, Jeziorna 23, 02‑911 Warsaw, Poland

autor

Duszyk A.

• Faculty of Physics, University of Warsaw, Warsaw, Poland
• University of Social Sciences and Humanities, Warsaw, Poland

autor

Zygierewicz J.

• Faculty of Physics, University of Warsaw, Warsaw, Poland

autor

Rudkiewicz T.

• NC.ART, Studio projektowe wzornictwa przemysłowego, Raszyn, Poland

autor

Durka P.

• BrainTech Ltd, Jeziorna 23, 02‑911 Warsaw, Poland
• Faculty of Physics, University of Warsaw, Warsaw, Poland