Modelado autorregresivo de señales electroencefalográficas para simuladores médicos
Modelado autorregresivo de señales electroencefalográficas para simuladores médicos
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Barranquilla: Fundación Universidad del Norte
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Barranquilla: Fundación Universidad del Norte
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The recording of brain electrical activity has led to a greater understanding of different neurophysiological states, has even made possible the diagnosis of some neuronal disorders, hence the importance of characterization and understanding of the different morphologies that may have electroencephalography signals (EEG). The mathematical modeling...
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Modelado autorregresivo de señales electroencefalográficas para simuladores médicos
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TN_cdi_proquest_journals_1926777480
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1926777480
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ISSN
0122-3461
E-ISSN
2145-9371
