UNASSIGNED: There is approximately a 6-8 hour window that exists from when a @entity63 occurs, in utero, before significant irreversible @entity1545 occurs in new born @entity1 . The focus of our work is to determine through the electroencephalogram (EEG) if such a @entity63 has occurred such that neuro-protective treatment can be sought within this period. At present, there are no defined biomarkers in the EEG that are currently being used to help classify if a @entity63 insult has occurred. However, micro-scale transients in the form of spikes, sharps and slow waves exists that could provide precursory information whether a @entity63 has occurred or not. In our previous studies we have successfully automatically identified spikes with high sensitivity and selectivity in the conventional 64Hz sampled EEG. This paper details the significant advantage that can be obtained in using high frequency 1024Hz sampled EEG for sharp wave detection over the typically employed 64Hz sampled EEG. This advantage is amplified when a combination of @entity16 ( @entity16 ) classifiers are used to identify the sharp wave transients. By applying @entity16 to the 1024Hz EEG record and to the same down-sampled 64Hz EEG record we demonstrate, how the sharp wave transients detection increases significantly for high resolution 1024Hz EEG over 64Hz EEG. The @entity16 algorithm performance was assessed over 3 standardised time periods within the first 8 hours, post occlusion of a fetal @entity742 , in utero. 1024Hz EEG results demonstrate the algorithm detected sharps with overall performance rates of 85%, 92%, and 87% in the Early/Mid and Late-latent phases of injury, respectively as compared to 25%, 55% and 31% in the 64Hz EEG. These results demonstrate the power of Wavelet Type-2 Fuzzy Logic System at detecting sharp waves in 1024Hz EEG and suggest that there should be a movement toward recording high frequency EEG for analysis of @entity519 ischemic micro-scale transients that does not occur at present.

Superiority of high frequency XXXX ischemic EEG signals of fetal @entity742 for sharp wave detection using Wavelet-Type 2 Fuzzy classifiers.

@entity1545 :: ('MESH:D020214', 'Disease') :: ['brain injury'] @entity1 :: ('9606', 'Species') :: ['infants'] @entity742 :: ('9940', 'Species') :: ['sheep'] @entity63 :: ('MESH:D007511', 'Disease') :: ['hypoxic-ischemic insult', 'hypoxic ischemia'] @entity16 :: ('MESH:D009422', 'Disease') :: ['wavelet Type-2 Fuzzy Logic System', 'WT-Type-2-FLS'] @entity519 :: ('MESH:D000860', 'Disease') :: ['hypoxic']
@entity519 :: (MESH:D000860,Disease) :: ['hypoxic']
