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A Reconfigurable Neural Signal Processor (NSP) for Brain Machine Interfaces

Shalom Darmanjian, Grzegorz Cieslewski, Scott A. Morrison, Benjamin Dang, Karl Gugel, José C. Prı́ncipe

Year
2006
Citations
5

Abstract

In this paper, we present a design for a wearable computational DSP system that alleviates the issues of a previous design and provides a much smaller and lower power solution for the overall BMI goals. The system first acquires the neural data through a high speed data bus in order to train and evaluate prediction models. Then it wirelessly transmits the predicted results to a simulated robot arm. This system has been built and successfully tested with real and simulated data.

Keywords

Computer scienceDigital signal processorWearable computerRobotDigital signal processingBrain–computer interfaceSIGNAL (programming language)Power (physics)ARM architectureEmbedded system

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