Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2017
TrueNorth-enabled real-time classification of EEG data for brain-computer interfacing.
СтатьяНазвание и аннотация: Перевод в очереди
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Kiral-Kornek Isabell, Mendis Dulini, Nurse Ewan S, Mashford Benjamin S, Freestone Dean R, Grayden David B, Harrer Stefan
Аннотация
Brain-computer interfaces are commonly proposed to assist individuals with locked-in syndrome to interact with the world around them. In this paper, we present a pipeline to move from recorded brain signals to real-time classification on a low-power platform, such as IBM's TrueNorth Neurosynaptic System. Our results on a EEG-based hand squeeze task show that using a convolutional neural network and a time preserving signal representation strategy provides a good balance between high accuracy and feasibility in a real-time application. This pathway can be adapted to the management of a variety of conditions, including spinal cord injury, epilepsy and Parkinson's disease.