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scopus(3)
Parkinson’s Disease Diagnosis Through Electroencephalographic Signal Processing and Sub-optimal Feature Extraction
Conference ObjectAbstract: Parkinson’s disease is the second most common neurological disorder after Alzheimer. Several limitatPalabras claves:EEG, Machine learning, Medical informatics, Parkinson’s Disease, Signal processing, Waveform shapeAutores:Diego Hernán Peluffo-Ordóñez, Manuel Eugenio Morocho-Cayamcela, Pozo-Ruiz S., Torres D.M.Fuentes:scopusSign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques
Conference ObjectAbstract: The abstract should briefly summarize the contents of the paper in Sign language is the form of commPalabras claves:Discrete Wavelet Transform, Leap motion, Machine learning, Sign LanguageAutores:Diego Hernán Peluffo-Ordóñez, López-Albán D., López-Barrera A., Torres D.M.Fuentes:scopusRecognition and Classification of Cardiac Arrhythmias Using Discrete Wavelet Transform (DWT) and Machine Learning Techniques
Conference ObjectAbstract: Cardiac arrhythmias are heart rhythm problems that usually occur when the electrical impulses coordiPalabras claves:cardiac arrhythmia, electrocardiogram (ECG), Feature Extraction, Machine learning, Performance MeasuresAutores:Ayala-Cucas H.A., Diego Hernán Peluffo-Ordóñez, León-Salas A.J., Mora-Piscal E.A., Torres D.M.Fuentes:scopus