Linear and non-linear parameterization of EEG during monitoring of carotid endarterectomy

Authors:
Agostino Accardo;Monica Cusenza;Fabrizio Monti
Affiliations:
DEEI, University of Trieste, Via Valerio, 10, I-34100 Trieste, Italy;DEEI, University of Trieste, Via Valerio, 10, I-34100 Trieste, Italy;Clinical Neurophysiological Unity, University Hospital Cattinara, Trieste, Italy
Venue:
Computers in Biology and Medicine
Year:
2009

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Abstract

In this paper, new quantitative linear (HLF ratio: high frequency/low frequency spectral power ratio) and non-linear parameters (ZC: zero crossing and FD: fractal dimension) which can assist the physician in real-time decision whether a shunt is required or not during intra-operative EEG monitoring of carotid endarterectomy are presented. The results obtained with the new parameters are compared with those achieved by other indexes proposed in the literature. The HLF ratio and ZC parameters yielded the best results with a 100% of correct identification of both shunt and no-shunt situations. The ZC can be also easily implemented in the real-time monitoring of EEG.