Mostrando 3 resultados de: 3
Filtros aplicados
Subtipo de publicación
Conference Object(3)
Área de conocimiento
Ciencias de la computación(2)
Aprendizaje automático(1)
Neurología(1)
Procesamiento de señales(1)
Red neuronal artificial(1)
Origen
scopus(3)
Neural Networks on Noninvasive Electrocardiographic Imaging Reconstructions: Preliminary Results
Conference ObjectAbstract: In the reverse electrocardiography (ECG) problem, the objective is to reconstruct the heart’s electrPalabras claves:Computational geometry, Graph Theory, Hamilton cyclesAutores:Diego Hernán Peluffo-Ordóñez, León-Salas A.J., Torres D.M.Fuentes:scopusParkinson’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: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