BRAIN - Brain-computer interfaces with Rapid Automated Interfaces for Nonexperts

Contributions of BRAIN

 

BCI WIZARD
Recent research has identified key parameters that can dramatically affect BCI performance. Exploring different BCI approaches (P300, SSVEP, or ERD) and numerous corresponding stimulus, feedback, and signal processing specifications within each approach can make the difference between a working BCI and an ineffective system. However, most BCI systems only allow customization of very few of these parameters, and even this requires expert assistance. WP3 will develop friendly, straightforward wizard that will walk each user through a series of tests to determine optimal parameters. The wizard will be straightforward, user-friendly, self adaptive, and completely automated. Each user will participate in three series of tests that evaluate crucial parameters across three different BCI approaches. Each of these three series of tests will require 5-10 minutes. For example, the wizard will determine the best stimulus timing and display parameters for P300 BCIs. To evaluate ERD BCIs, the wizard will ask the user to imagine different movements across different feedback types. Different stimulus frequencies and display parameters will be assessed for SSVEP BCIs. In addition, for each of the three BCI tests, software will determine the best electrode sites and spatial filters. The user may also choose to answer questions about training, application parameters, and other personal preferences. Based on this information, an expert system will then determine the best BCI approach and parameters for each subject. Read more

TAKING INTO ACCOUNT THE USER NEEDS
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THE INTUITIVE GRAPHICAL USER INTERFACE
The Intuitive Graphical User Interface (IGUI) is the visual aspect of the design that the user interacts with. it allows the user to control the services provided by the BRAIN system. It shows the actions available to the user at any given time and reacts to the user selections made through the BCI system. The IGUI module is the responsible of this interface. Read more

THE UNIVERSAL INTERFACE
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HIGH-FREQUENCY SSVEP BASED BCI
Brain-computer interfaces (BCI) based on steady-state visual-evoked-potentials (SSVEP) offer higher information throughput and require shorter calibration periods than other BCI modalities. SSVEPs are oscillatory responses elicited by oscillatory visual stimuli (e.g. using flickering LEDs) that can be detected in the electroencephalogram (EEG). The SSVEP is more prominent in occipital sites and consists of oscillatory components matching that of the stimulus and/or its harmonics. The electrode sites for optimal SSVEP detection change with the frequency of the stimulus. We focus on SSVEPs elicited by high-frequency stimuli (>30 Hz) because they are minimally perceptible and prevent safety hazards linked to photo-induced epileptic seizures. Linear combinations of EEG signals (spatial filters) are used to construct signals exhibiting large SSVEP components. As in most applications relying on biosignals, individual specificity needs to be taken into account. Thus, the spatial filters need to be customized for each BCI user through a (preferably short) calibration procedure. Read more

ELECTRODES THAT USE WATER INSTEAD OF CONDUCTIVE GEL
For BCI applications, the need for easy to apply (and remove) electrodes is evident for both healthy users and patients. We felt we could fulfill this need by designing smart water based electrodes in combination with a high performance amplifier front end. Read more