• No results found

Epileptic seizure detection from EEG signals using logistic model trees

N/A
N/A
Protected

Academic year: 2019

Share "Epileptic seizure detection from EEG signals using logistic model trees"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1 Scheme of the proposed method for the detection of epileptic seizure signals
Table 1 Sample sizes by the
Fig. 2 Box plot of obtained eleven features in the whole feature set toshow their distribution
Fig. 3 Overall performance comparison for the LMT, MLR, andSVM classifier on OAT scheme

References

Related documents

Serum concentrations of the metabolite CBZE generally range from 15 to 40 percent of the parent drug in therapeutic concentrations and can rise to 50 to 80% of CBZ concentration

The local NGO would really like to see the English NGO have two projects in Sierra Leone – to work in the capitol with the government on national policies and development

Conclusions: Injection of BonoFill-II (an innovative autologous cell therapy product for bone tissue regeneration) into a critical size segmental defect model (3.2 cm), generated in

results indicate that in the best predicting model, generalized anxiety disorder is coefficient correlation of predictor variables to criterion variable was equal to

D'Amato suggests that rather than teaching students to manipulate "law-words" in formulating legal arguments, professors in existing courses should "teach

Alternative transportation solutions are crucial to alleviate traffic congestion; therefore, it is important to explore every option available to Underground Atlanta in order

The Markov chains are of great importance for predicting future situations, and the advantages of this method is that it does not depend on the causes of the

Respondents also said that they considered early case analytics, automated document destruction and storage optimization to be important factors in utilizing technology to