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Title: Design and implementation of a human ECoG simulator for testing brain-machine interfaces
Authors: Fifer, M.S.
Milsap, G.W.
Greenwald, E.
McMullen, D.P.
Anderson, W.S.
Thakor, N.V. 
Crone, N.E.
Vinjamuri, R.
Issue Date: 2013
Citation: Fifer, M.S.,Milsap, G.W.,Greenwald, E.,McMullen, D.P.,Anderson, W.S.,Thakor, N.V.,Crone, N.E.,Vinjamuri, R. (2013). Design and implementation of a human ECoG simulator for testing brain-machine interfaces. International IEEE/EMBS Conference on Neural Engineering, NER : 1311-1314. ScholarBank@NUS Repository.
Abstract: This paper presents the design and implementation of a signal simulator that emulates event-related human electrocorticographic (ECoG) signals. This realtime simulator renders a representative model of human ECoG encompassing prominent physiological modulation in the time domain (e.g., event-related potentials, or ERPs) and the frequency domain (e.g., alpha/mu, beta, and high gamma band). The simulated signals were generated in a MATLAB SIMULINK framework and output through a National Instruments PCI card for recording by a standard research-grade ECoG amplifier system. Trial-averaged event-related spectrograms computed offline from simulated signals exhibit characteristics similar to those of experimental human ECoG recordings. The presented simulator can serve as a useful tool for testing real-time brain-machine interface (BMI) applications. It can also serve as a potential framework for future implementation of neuronal models for generation of extracellular field potentials. © 2013 IEEE.
Source Title: International IEEE/EMBS Conference on Neural Engineering, NER
ISBN: 9781467319690
ISSN: 19483546
DOI: 10.1109/NER.2013.6696182
Appears in Collections:Staff Publications

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