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Brain Tumor Segmentation Based on 2D U-Net Using MRI Multi-modalities Brain Images
Conference ObjectAbstract: Glioblastoma is the most common malignant primary brain tumor, making up approximately 80% of all maPalabras claves:Brain tumor segmentation, BraTS dataset, glioma, Multimodal MRI, U-netAutores:Andrés Tirado-Espín, Cadena-Morejón C., Daniela Tene-Hurtado, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Omar Santiago Alvarado Cando, Orozco-López O., Salazar V.H.Fuentes:googlescopusAnalysis and evaluation of the systems used for the assessment of the cervical spine function: a systematic review
ReviewAbstract: Neck injuries and pathologies are widespread and cause disability. Clinicians use different tools toPalabras claves:Cervical spine, CROM device, inertial sensors, Kinematics, motion captureAutores:Carlos P. Villalba-Meneses, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Iván Iglesias Navarro, Kevin O. Pila-Varela, Paola A. Vásquez-UchoFuentes:googlescopusConvolutional Neural Network for Imagine Movement Classification for Neurorehabilitation of Upper Extremities Using Low-Frequency EEG Signals for Spinal Cord Injury
Conference ObjectAbstract: As a result of the improvement of digital signal processing techniques and pattern recognition, it hPalabras claves:Convolutional neural network, Electroencephalogram, Neurorehabilitation, Spinal cordAutores:Alejandro S. Delgado, Andrés Tirado-Espín, Cadena-Morejón C., Carolina Cadena Morejón, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Giovana F. Vaca, Graciela M. Salum, Lady L. González, Mario G. GualsaquíFuentes:googlescopusIntelligent Electromyograph for Early Detection of Myopathy and Neuropathy Using EMG Signals and Neural Network Model
Conference ObjectAbstract: The present work proposes developing an electromyograph to give a reliable diagnosis for detecting nPalabras claves:Electromyography, Medical conditions, Neural networks, pathology, smart deviceAutores:Andrea Valenzuela-Guerra, Andrés Tirado-Espín, Bryan Cerón-Andrade, Daniela Negrete-Bolagay, Diego Almeida-Galárraga, Diego Suntaxi-Dominguez, Evelyn Dayana Aguiar-Salazar, Fernando Villalba-Meneses, Xiomira Fiallos-AyalaFuentes:googlescopusWearable sensors in the diagnosis and study of Parkinson’s disease symptoms: a systematic review
ReviewAbstract: Nowadays, there are several diseases which affect different systems of the body, producing changes iPalabras claves:inertial sensors, motion capture, Parkinson’s Disease, wearable sensorsAutores:Andrea C. Albán-Cadena, Carlos P. Villalba-Meneses, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Kevin O. Pila-Varela, Moreno-Calvo A.Fuentes:googlescopusRapid Detection of Cardiac Pathologies by Neural Networks Using ECG Signals (1D) and sECG Images (3D)
ArticleAbstract: Usually, cardiac pathologies are detected using one-dimensional electrocardiogram signals or two-dimPalabras claves:LSTM, matlab, Neural networks, PYTHON, ResNet34, sECG imagesAutores:Andrés Tirado-Espín, Daniel Amaguaña-Marmol, Diego Almeida-Galárraga, Evelyn Dayana Aguiar-Salazar, Fernando Villalba-MenesesFuentes:googlescopus