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- W3203608243 abstract "The ”corrected” EEG recordings, after artifact removing, may be the subject of further investigations, for example segmentation and energy distribution, resulting new informa- tion to be used for feature extraction, of great help for medical diagnosis. The paper presents a generally method for energy distribution evalua- tion using measures of R´enyi entropy. The pre- sented approach ensures the possibility of quan- titative analysis of the information contained in time-frequency distribution of EEG signals. The proposed procedure is applied with good results in the analysis of a sample lowpass event-related potentials (ERP) data, collected from 13 scalp and 1 EOG electrodes." @default.
- W3203608243 created "2021-10-11" @default.
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- W3203608243 date "2021-09-29" @default.
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- W3203608243 title "Energy Distribution Evaluation Using Renyi Entropy Measures With Application in EEG Data Analysis" @default.
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- W3203608243 doi "https://doi.org/10.37394/232014.2021.17.14" @default.
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