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Neuroscience / Brain-computer interfacing / Electrodiagnosis / Electrophysiology / Neurophysiology / Electroencephalography / Support vector machine / Statistical classification / Multiclass classification / Statistics / Medicine / Machine learning


Exploring sampling in the detection of multi-category EEG signals Siuly1, Enamul Kabir2, Hua Wang1and Yanchun Zhang1 1 Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, A
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Document Date: 2015-03-30 03:24:59

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Country

Australia / /

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Facility

Victoria University / College of Engineering / University of Southern Queensland / /

IndustryTerm

classification algorithm / radial basis function neural network / machine learning algorithms / well known algorithms / recurrent neural networks / treatment of neurological diseases / automatic diagnostic systems / neural networks / multilayer perceptron neural network / assignal processing methods / classification algorithms / machines learning tool / artificial neural network / automatic systems / detection algorithms / learning algorithm / energy / /

MarketIndex

EEG / /

Organization

Federal Government / Victoria University / Melbourne / School of Agricultural / Computational and Environmental Sciences / College of Engineering and Science / University of Southern Queensland / Centre for Applied Informatics / /

Position

representative / analyst / general data sets / /

ProgrammingLanguage

C / /

Region

Southern Queensland / /

Technology

machine learning algorithms / neural network / k-NN classification algorithm / existing well known algorithms / analog-to-digital conversion / proposed algorithms / detection algorithms / machine learning / seven classification algorithms / /

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