Improved performance on seizure detection in an automated electroencephalogram signal under evolution by extracting entropy feature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11069-7.pdf
Reference27 articles.
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3. Alotaiby TN, Alshebeili SA, Alshawi T, Ahmad I, Abd El-Samie FE (2014) EEG seizure detection and prediction algorithms: a survey. EURASIP Journal on Advances in Signal Processing 2014(1):1–21
4. Bajaj V, Pachori RB (2013) Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals. Biomed Eng Lett 3(1):17–21
5. Bogaarts JG, Gommer ED, Hilkman DMW, van Kranen-Mastenbroek VHJM, Reulen JPH (2016) Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection. Med Biol Eng Comput 54(8):1285–1293
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