Theodor D. Popescu, "Energy Distribution Evaluation Using Renyi Entropy Measures With Application in EEG Data Analysis," WSEAS Transactions on Signal Processing, vol. 17, pp. 99-107, 2021, DOI:10.37394/232014.2021.17.14
Theodor D. Popescu. Energy Distribution Evaluation Using Renyi Entropy Measures With Application in EEG Data Analysis.
WSEAS Transactions on Signal Processing. 2021;17:99-107. 10.37394/232014.2021.17.14
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 17, 2021
Energy Distribution Evaluation Using Renyi Entropy Measures With Application in EEG Data Analysis
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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.
Pages: 99-107 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 17, 2021, Art. #14 DOI: 10.37394/232014.2021.17.14
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