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Classification among healthy, mild cognitive impairment and Alzheimer’s disease subjects based on wavelet entropy and relative beta and theta power

Jorge Esteban Santos Toural, Arquímedes Montoya Pedrón, Enrique Juan Marañón Reyes

2020Pattern Analysis and Applications31 citationsDOI

Topics & Concepts

Sample entropyPattern recognition (psychology)Haar waveletSupport vector machineWaveletElectroencephalographyArtificial intelligenceEntropy (arrow of time)Cognitive impairmentComputer scienceClassifier (UML)Approximate entropyMathematicsHaarSpeech recognitionWavelet transformCognitionPsychologyDiscrete wavelet transformNeuroscienceQuantum mechanicsPhysicsEEG and Brain-Computer InterfacesHeart Rate Variability and Autonomic ControlFunctional Brain Connectivity Studies
Classification among healthy, mild cognitive impairment and Alzheimer’s disease subjects based on wavelet entropy and relative beta and theta power | Litcius