Brain-Computer Interface 2018-11-28T15:57:50-08:00
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Mobile EEG Application

Brain-Computer Interface

An effective Brain-Computer Interface (BCI) leverages the separate strengths of both human and machine to create new capabilities or leaps in efficiencies. With B-Alert BCI development tools, developers are provided rapid prototyping tools to fit the right approach with the right task.

Within clinical environments, the results are recovery of lost function and accelerated healing. In other applications, BCIs facilitate more efficient interactions between man and machine.

BCIs with the potential to transition to broader markets will benefit from the scalability of B-Alert’s core technology – as highlighted in the media examples below. For more examples and suggestions to guide your ideas, Inquire here to explore the possibilities further.

Non-invasive EEG-based motor and language mapping while playing a Kinetic-based computer game

Prof. Reinhold Scherer at the Graz University of Technology (Austria) developed a Kinect-based computer game for functional motor mapping. Prof. Scherer’s second round of research incorporates the B-Alert wireless EEG systems to allow users to behave more naturally.

Brain-Computer Interface for rapid image retrieval

BBC Horizons profiles the achievements of Prof. Paul Sajda at Columbia University. Paul Sajda (Neuromatters) and his team applied B-Alert X10 to elucidate the mechanisms of our brain’s powerful internal code when items of interest are identified. It serves as another example of B-Alert bridging the gap between neuroscience labs and real-world needs.

BCI to aid spinal cord injury patients in rehabilitation of damaged neural pathways

Dr. Justin Sanchez and team at the University of Miami used the B-Alert X10 system to create an EEG Neurorehabilitation therapy for spinal cord injury patients. The novel and practical system integrates neurofeedback with functional electrical stimulation (FES) for restoring damaged brain-to-hand neural pathways. The peer-review publication detailing these findings is currently in-press.