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2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(2)
2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022(2)
2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016(1)
2019 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2019(1)
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Fisiología humana(7)
Medicina y salud(4)
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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:scopusClustering of EEG occipital signals using k-means
Conference ObjectAbstract: Recent studies show that it is feasible to use electrical signals from Electro-encephalography (EEG)Palabras claves:Butterworth Filter, Clusterization, Direct Current Artifacts, Electro-encephalography, Fast fourier transform, Occipital Lobe, Signal PreprocessingAutores:Carlos A. Salazar, Carmen Vaca-Ruiz, Christian Sacarelo, Enrique Pelaez, Francis R. Loayza, Kerly Ochoa, Victor Asanza ArmijosFuentes:googlescopusAutomatic Brain White Matter Hyperintensities Segmentation with Swin U-Net
Conference ObjectAbstract: This work proposes an automatic segmentation approach to detect White Matter Hyperintensities (WMH)Palabras claves:deep learning, segmentation, Swin-Transformer, WMHAutores:Bryan V. Piguave, Enrique Pelaez, Francis R. Loayza, José ViteriFuentes:googlescopusAnatomical Patterns Recognition of Impulse Control Disorders of Parkinsonian Patients Using Deep Learning of MRI structural images
Conference ObjectAbstract: In Parkinson's disease (PD) several neuropsychiatric conditions are highly frequent including impulsPalabras claves:deep learning, Impulsive Compulsive Disorders, MRI, PÁRKINSONAutores:Alexander Saravia, Enrique Pelaez, Francis R. Loayza, Jocellyn Luna, Obeso I., Victor Asanza ArmijosFuentes:googlescopusA Machine Learning-Based algorithm for the assessment of clinical metabolomic fingerprints in Zika virus disease
Conference ObjectAbstract: Data analysis for metabolomic studies is challenging considering the number of statistical tools andPalabras claves:logistic regression, Machine learning, PCa, SVM, Zika VirusAutores:Barrett M., Enrique Pelaez, Fernanda Bertuccez Cordeiro, Regato M., Washington Cardenas Medranda, Zambrano M.P.Fuentes:googlescopusA 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:scopusEEG signal clustering for motor and imaginary motor tasks on hands and feet
Conference ObjectAbstract: Modern technologies use Brain Computer Interfaces (BCI) to control devices or prosthesis for peoplePalabras claves:Brain computer interface, Butterworth Filter, DBscan, Direct Current Artifacts, electroencephalography, Fast fourier transform, hierarchical-clustering, k-medoids, kmeans, power spectral density, Spectral clusteringAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:googlescopusPattern 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: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