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|Title:||Design and implementation of a human ECoG simulator for testing brain-machine interfaces||Authors:||Fifer, M.S.
|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. https://doi.org/10.1109/NER.2013.6696182||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||URI:||http://scholarbank.nus.edu.sg/handle/10635/128673||ISBN:||9781467319690||ISSN:||19483546||DOI:||10.1109/NER.2013.6696182|
|Appears in Collections:||Staff Publications|
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