Sentence examples for performance of seizure from inspiring English sources

We first compared the performance of seizure detection based on feature fusion using different statistical classifiers.

The performance of seizure detection was evaluated in an epoch-based way.

The aim of the study is to assess whether additional information extracted from ECG can improve the performance of seizure detectors based solely on EEG.

Latency was used to study the performance of seizure onset detection.

Table 7 Performance comparison of seizure detectors based on newborn EEG and HRV inform Algorithm EEG HRV Fusion of EEG and HRV SEN SPE SEN SPE SEN SPE Proposed seizure detector 80.9 86.5 85.7 84.6 95.2 94.3 Green's seizure detector 71.5 65.6 59.6 671.571.5 60.3.

Also, the infrequent occurrence of linear FMs is because of the complexity of the EEG seizure behaviour over relatively long windows; a factor that was found to limit the performance of automatic seizure detection when using EEG epochs larger than 12 s.

Thus, to improve the performance of epileptic seizure detection, it is required to combine additional, complementary features to ApEn analysis.

Temko et al. [56] correctly concluded that the best way to report the performance of a seizure detector is to include a number of different, but complementary, measures.

A post-processing stage similar to the one proposed by different authors [10, 11, 19, 31] will be adopted to further enhance the performance of the seizure detector.

Further study to evaluate the performance of the seizure detection methods using continuous EEG recordings encompassing various behaviors and physiological states is required for development of clinical applications.

The obtained results related to the nature of the selected optimal features in "EEG features" section and those dealing with the effect of feature selection on the performance of the seizure detectors (Tables 3, 4, and 5) clearly support these two conclusions.