A New Approach for Investigating the Complexity of Short Term EEG Signal Based on Neural Network
Background and purpose: The nonlinear quality of electroencephalography (EEG), like other irregular signals, can be quantified. Some of these values, such as Lyapunov's representative, study the signal path divergence and some quantifiers need to reconstruct the signal path but some do not. How...
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| Format: | Article |
| Language: | English |
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Mazandaran University of Medical Sciences
2021-08-01
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| Series: | Journal of Mazandaran University of Medical Sciences |
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| Online Access: | http://jmums.mazums.ac.ir/article-1-16124-en.html |