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Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals.

, , and . Entropy, 17 (2): 669-691 (2015)

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Application of the Sample Entropy for Discrimination between Seizure and Seizure-Free EEG Signals., and . IICAI, page 1232-1247. IICAI, (2011)A New Approach for Glottal Closure Instants Detection from Speech Signals., and . IICAI, page 1216-1231. IICAI, (2011)Classification of focal EEG signals using FBSE based flexible time-frequency coverage wavelet transform., and . Biomed. Signal Process. Control., (2020)Biometric Identification From ECG Signals Using Fourier Decomposition and Machine Learning., , , and . IEEE Trans. Instrum. Meas., (2022)Focal EEG signal detection based on constant-bandwidth TQWT filter-banks., , and . BIBM, page 2597-2604. IEEE Computer Society, (2018)Analysis of rhythms of EEG signals using orthogonal polynomial approximation., , and . ICHIT, volume 321 of ACM International Conference Proceeding Series, page 176-180. ACM, (2009)AM-FM model based approach for detection of glottal closure instants., and . ISSPA, page 266-269. IEEE, (2010)Classification of seizure and non-seizure EEG signals based on EMD-TQWT method., , and . DSP, page 1-5. IEEE, (2017)Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images., , , , , and . Comput. Biol. Medicine, (2023)A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images., , , , , and . Biomed. Signal Process. Control., 71 (Part): 103182 (2022)