1,720,966 research outputs found
Self-affinity in brain activity: relationship between fractal dimension and power-law beta exponent of EEG in sleeping newborns
No full textLinear and non-linear parameterization of EEG during monitoring of carotid endarterectomy
No full textIn 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
Estimation of EEG fractal dimension: sensitivity to sampling frequency and time window length
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EEG fractal dimension combined with burst suppression ratio as a measure of depth of anesthesia
No full textAnalysis of awake and sleep EEG in autistic children
No full textIn this study the characteristics of autistic EEG are explored by means of linear and fractal analysis on traces recorded in the awake state and during both light and deep sleep. Results are compared with those obtained from EEG assessment of children with mental retardation. Significant differences were found between the two groups, suggesting that EEG parameterization could be a powerful tool for early diagnosis of autism and effective intervention
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