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A Novel constrained Topographic ICA for separation of epileptic seizure signals
Min Jing
, Saeid Sanei
School of Engineering
Faculty Of Computing, Eng. & Built Env.
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Citations (Scopus)
Overview
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Dive into the research topics of 'A Novel constrained Topographic ICA for separation of epileptic seizure signals'. Together they form a unique fingerprint.
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Neuroscience
Independent Component Analysis
100%
Epileptic Seizure
100%
Electroencephalogram
40%
Engineering
Independent Component Analysis
100%
Source Signal
28%
Multichannel
14%
Spatial Frequency
14%
Desired Signal
14%
Interference Ratio
14%