Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury - Concepedia

Concepedia

Publication | Open Access

Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury

DOI Full Paper Access

85

Citations

24

References

2019

Year

Edilberto Amorim, M Van Der Stoel, Sunil B. Nagaraj, Mohammad M. Ghassemi, Jin Jing, Una-May O'Reilly, Benjamin M. Scirica, Jong Woo Lee, Sydney S. Cash, M. Brandon Westover

Clinical Neurophysiology

Hypoxic-ischemic Brain InjuryMachine LearningNeurophysiological BiomarkersSocial SciencesStrokeBrain InjuryNeurologyCognitive ElectrophysiologyNeurorehabilitationNeuroimagingCerebral Blood FlowReperfusion InjuryNeuroimaging BiomarkersIschemic StrokeNeurophysiologyEeg Signal ProcessingNeuroscienceQuantitative Eeg ReactivityConcussionMedicine

References

	Year	Citations

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