Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Arturo, Vera Hernandez"'
Autor:
Jorge A. Mercado-Gutierrez, Ricardo Dominguez, Ignacio Hernandez-Popo, Jimena Quinzaños-Fresnedo, Arturo Vera-Hernandez, Lorenzo Leija-Salas, Josefina Gutierrez-Martinez
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2022)
Non-invasive Functional Electrical Stimulation (FES) is a technique applied for motor rehabilitation of patients with central nervous system injury. This technique requires programmable multichannel systems to configure the stimulation parameters (am
Externí odkaz:
https://doaj.org/article/2c5894b1221044d0940afe2ebea18e10
Autor:
Daniela Avila Cabrera, Rafael Bayareh Mancilla, Arturo Vera Hernandez, Josefina Gutierrez Martinez, Lorenzo Leija
Publikováno v:
2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Autor:
Texar Javier Ramirez Guzman, Arturo Vera Hernandez, Lorenzo Leija Salas, Citlalli Jessica Trujillo Romero
Publikováno v:
2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Autor:
Jorge Alberto Rodriguez Ramirez, Mario Ibrahin Gutierrez, Arturo Vera Hernandez, Carlos Alther Negreira Casares, Lorenzo Leija Salas
Publikováno v:
2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Autor:
Rafael Bayareh Mancilla, Wilfrido Gomez Flores, Christian Daul, Josefina Gutierrez Martinez, Lorenzo Leija Salas, Didier Wolf, Arturo Vera Hernandez
Publikováno v:
2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Autor:
Rafael Bayareh Mancilla, Christian Daul, Josefina Gutierrez Martinez, Lorenzo Leija Salas, Didier Wolf, Arturo Vera Hernandez
Publikováno v:
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Autor:
Jorge A. Mercado-Gutierrez, Ricardo Dominguez, Ignacio Hernandez-Popo, Jimena Quinzaños-Fresnedo, Arturo Vera-Hernandez, Lorenzo Leija-Salas, Josefina Gutierrez-Martinez
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2022)
Frontiers in Neuroscience, Vol 15 (2022)
Non-invasive Functional Electrical Stimulation (FES) is a technique applied for motor rehabilitation of patients with central nervous system injury. This technique requires programmable multichannel systems to configure the stimulation parameters (am
Autor:
Citlalli Trujillo Romero, Texar Javier Ramirez Guzman, Lorenzo Leija Salas, Arturo Vera Hernandez
Publikováno v:
CCE
In order to improve the treatment planning of microwave ablation treatments, the temperature distribution must be known. Different designs of micro-coaxial antennas to treat bone tumors have been developed in order to modify the shape of the tissue d
Autor:
Christian Daul, Josefina Gutierrez Martinez, Arturo Vera Hernandez, Lorenzo Leija Salas, Rafael Bayareh Mancilla, Didier Wolf
Publikováno v:
CCE
17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020
17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020, Nov 2020, Mexico City, Mexico. ⟨10.1109/CCE50788.2020.9299144⟩
17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020
17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020, Nov 2020, Mexico City, Mexico. ⟨10.1109/CCE50788.2020.9299144⟩
International audience; According to the International Diabetes Federation, approximately four million people die from diabetes each year, and ten million more suffer disabling or potentially terminal complications, such as diabetic foot disease. The
Autor:
Gabriel Vega Martinez, Arturo Vera Hernandez, J. Gilberto Franco Sanchez, Francisco Jose Ramos Becerrril, Diego Mirabent Amor, Carlos Alvarado Serrano, Lorenzo Leija Salas
Publikováno v:
CCE
Prevention is a key factor to avoid chronic diseases and premature death. The assessment of risk of cardiovascular disease through the Framingham score could help in taking action on time. This paper proposes the use of an Artificial Neural Network a