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2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
Lecture Notes in Networks and Systems(1)
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scopus(6)
Classification of subjects with parkinson's disease using finger tapping dataset
Conference ObjectAbstract: Parkinson's disease is the second most common neurodegenerative disorder and affects more than 7 milPalabras claves:classification, Finger Tapping, Machine learning, Parkinson's DiseaseAutores:Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis R. Loayza, Leandro L. Lorente-Leyva, Sanchez-Pozo N.N., Victor Asanza ArmijosFuentes:scopusA Pipeline for Segmenting and Classifying Brain Lesions Caused by Stroke: A Machine Learning Approach
Conference ObjectAbstract: Brain injuries caused by strokes are one of the leading causes of disability in the world. Current pPalabras claves:Artificial Intelligence, Brain injuries, Machine learning, strokeAutores:Alex Macas, Enrique Pelaez, Francis R. Loayza, Franco-Maldonado H., Roberto MenaFuentes:scopusA voice analysis approach for recognizing Parkinson's disease patterns
Conference ObjectAbstract: Many of the patients diagnosed with Parkinson's disease (PD) do not know they have it until the mostPalabras claves:Machine learning, PÁRKINSON, Voice AnalysisAutores:Enrique Pelaez, Francis R. Loayza, Paucar G. Bryan, Yu Chen TaiFuentes:scopusPattern recognition of white matter lesions associated with diabetes mellitus type 2
Conference ObjectAbstract: The White Matter Hyperintensities (WMHs) are usually associated with diabetes which is relevant in mPalabras claves:classification, DIABÉTES, Machine learning, segmentation, WMH brain lesionsAutores:Alvarado R., Enrique Pelaez, Francis R. Loayza, Jocellyn Luna, Pastor M.A.Fuentes:scopusSSVEP-EEG signal classification based on emotiv EPOC BCI and raspberry pi
Conference ObjectAbstract: This work presents the experimental design for recording Electroencephalography (EEG) signals in 20Palabras claves:Brain computer interface, classification, Data acquisition, Machine learning, SSVEP-EEG, XGBoostAutores:Enrique Pelaez, Félix Rosales-Uribe, Francis R. Loayza, Hector Trivino-Gonzalez, Jamil Torres-Brunes, Karla Avilés-Mendoza, Raquel Tinoco-Egas, Ricardo Cajo, Victor Asanza ArmijosFuentes:scopusSupervised pattern recognition techniques for detecting motor intention of lower limbs in subjects with cerebral palsy
Conference ObjectAbstract: Cerebral Palsy (CP) is one of the major conditions that prevent subjects suffering from having freePalabras claves:Brain computer interface, Cerebral palsy, electroencephalography, Machine learning, motor intentionsAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:scopus