Litcius/Paper detail

Automatic detection of Parkinson’s disease from power spectral density of electroencephalography (EEG) signals using deep learning model

Hanife Göker

2023Physical and Engineering Sciences in Medicine33 citationsDOI

Topics & Concepts

MultitaperElectroencephalographyArtificial intelligenceSupport vector machinePattern recognition (psychology)Spectral densityComputer scienceDeep learningFeature (linguistics)Parkinson's diseaseSpeech recognitionPsychologyDiseaseNeuroscienceMedicineLinguisticsTelecommunicationsPhilosophyPathologyEEG and Brain-Computer InterfacesMuscle activation and electromyography studiesBlind Source Separation Techniques
Automatic detection of Parkinson’s disease from power spectral density of electroencephalography (EEG) signals using deep learning model | Litcius