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...
| Published in: | Journal of Clinical Monitoring & Computing Vol. 25; no. 5; pp. 295 - 309 |
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| Main Authors: | , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Oct2011
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| Online Access: | View this record in EBSCOhost |