A quantitative EEG method for detecting post clamp changes during carotid endarterectomy.

Objective: To apply univariate and multivariate analyses of EEG spectral features in order to detect subtle post-clamp changes during carotid endarterectomy, and to devise a data-driven, multivariate classification method for rapid, real-time detection of small post-clamp EEG changes.Methods: We use...

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Detalles Bibliográficos
Publicado en:Journal of Clinical Monitoring & Computing Vol. 25; no. 5; pp. 295 - 309
Autores principales: Mishra M, Banday M, Derakhshani R, Croom J, Camarata PJ, Mishra, Meenakshi, Banday, Muhammed, Derakhshani, Reza, Croom, John, Camarata, Paul J
Formato: research Journal Article
Publicado: Springer Nature Oct2011
Acceso en línea:Ver este registro en EBSCOhost