0000000000134277

AUTHOR

Sandra Oltra Crespo

showing 1 related works from this author

Characterization of entropy measures against data loss: Application to EEG records

2012

This study is aimed at characterizing three signal entropy measures, Approximate Entropy (ApEn), Sample Entropy (SampEn) and Multiscale Entropy (MSE) over real EEG signals when a number of samples are randomly lost due to, for example, wireless data transmission. The experimental EEG database comprises two main signal groups: control EEGs and epileptic EEGs. Results show that both SampEn and ApEn enable a clear distinction between control and epileptic signals, but SampEn shows a more robust performance over a wide range of sample loss ratios. MSE exhibits a poor behavior for ratios over a 40% of sample loss. The EEG non-stationary and random trends are kept even when a great number of samp…

Computer scienceEntropyInformation Storage and RetrievalData lossElectroencephalographySensitivity and SpecificityApproximate entropyMultiscale entropyEntropy (classical thermodynamics)SeizuresStatisticsmedicineHumansEntropy (information theory)Entropy (energy dispersal)Entropy (arrow of time)medicine.diagnostic_testbusiness.industryEntropy (statistical thermodynamics)Reproducibility of ResultsElectroencephalographyPattern recognitionSample entropyArtificial intelligenceArtifactsbusinessAlgorithmsEntropy (order and disorder)2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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