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2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022(2)
2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016(1)
2020 IEEE ANDESCON, ANDESCON 2020(1)
HEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021(1)
IFAC-PapersOnLine(1)
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Ciencias de la computación(4)
Física aplicada(3)
Métodos informáticos especiales(3)
Enfermedades(2)
Fisiología humana(2)
Clustering 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:googlescopusAuthor Correction: Federated learning enables big data for rare cancer boundary detection (Nature Communications, (2022), 13, 1, (7346), 10.1038/s41467-022-33407-5)
OtherAbstract: In this article the author name Carmen Balaña was incorrectly written as Carmen Balaña Quintero. ThePalabras claves:Autores:Agzarian M., Alexander G.S., Baid U., Balaña C., Bendszus M., Bhardwaj S., Bilello M., Brugnara G., Calabrese E., Capellades J., Cha S., Chang K., Chen C., Chong C., Cloughesy T.F., Currie S., Davatzikos C., Dicker A.P., Dostál M., Dou Q., Edwards B., Ellingson B.M., Ezhov I., Falcão A.X., Farinhas J., Fatania K., Flanders A.E., Foley P., Francis R. Loayza, Frood R., Garrett J., Ghodasara S., Gruzdev A., Hagiwara A., Haunschmidt A., Heng P.A., Holcomb J., Huang R.Y., Ingalhalikar M., Jadhav M., Jeraj R., Jiang M., Jones C.K., Karkada D., Keřkovský M., Kofler F., Kopřivová T., Kozubek M., LaMontagne P., Larson M., Liem S., Lombardo J., Lucio D.R., Lux F., Maier-Hein K., Maldjian J.A., Marcus D., Martins S.B., Matula P., Meckel S., Menotti D., Metz M., Michálek J., Mitchell J.R., Mohan S., Necker G., Oughourlian T., Palmer J.D., Pandey U., Pati S., Pichler J., Pinho M.C., Preetha C.J., Puig J., Raymond C., Reddy D., Reina G.A., Rudie J., Sahm F., Saini J., Sair H.I., Sako C., Sebastian Quevedo, Sheller M., Shukla G., So T.Y., Sprenger F., Teixeira B.C.A., To M.S., Trenkler J., Venkataraman A., Villanueva-Meyer J., Vogelbaum M.A., Vollmuth P., Vybíhal V., Wagner B.C., Wang C., Wang S.H., Wick W., Wiestler B., Yogananda C.G.B., Zenk M.Fuentes:scopusAutomatic brain white matter hypertinsities segmentation using deep learning techniques
Conference ObjectAbstract: White Matter Hyperintensities (WMH) are lesions observed in the brain as bright regions in Fluid AttPalabras claves:Convolutional neural network, U-net, WMH SegmentationAutores:Enrique Pelaez, Fabricio Layedra, Francis R. Loayza, José ViteriFuentes: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 deep learning model to screen for Corona Virus Disease (COVID-19) from X-ray chest images
Conference ObjectAbstract: The overwhelming situation in hospitals, both in countries considered as developed and in under-devePalabras claves:convolutional neural networks, covid-19, deep learning, X-Ray Image AnalysisAutores:Enrique Pelaez, Francis R. LoayzaFuentes:scopusElectrooculography Signals Classification for FPGA-based Human-Computer Interaction
Conference ObjectAbstract: Electrooculographic techniques are applied in the development of new technologies that compensate foPalabras claves:Electrooculography, Fpga, Human-computer InteractionAutores:Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis R. Loayza, Jesus Miranda, Leiber Rivas, Miranda J., Otilia Alejandro, Victor Asanza ArmijosFuentes:scopusSupervised Machine Learning Applied to Non-Invasive EMG Signal Classification for an Anthropomorphic Robotic Hand
Conference ObjectAbstract: Advances in hardware development have created robotic hands able to mimic the appearance and functioPalabras claves:Anthropomorphic robotic hand, Artificial Neural Network, EMG Data Classification, EMG Machine LearningAutores:Alexander Saravia-Avila, Bolivar Nunez-Montoya, Edwin Valarezo Anazco, Efrain Teran, Francis R. Loayza, Mauricio Valarezo AnazcoFuentes: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 Alfredo Cajo Diaz, Victor Asanza ArmijosFuentes:scopus