Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Alberto Isaac Perez-Sanpablo"'
Autor:
Manuel Alejandro Trejo-Letechipia, David Arturo Rodriguez-Sanchez, Reyna Berenice González-González, Alberto Isaac Perez-Sanpablo, Ana María Arizmendi-Morquecho, Tania E. Lara-Ceniceros, Jose Bonilla-Cruz, Jorge Armando Cortes-Ramirez
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 4225 (2021)
New developments in upper limb prostheses are based almost exclusively on myoelectric technology, which prioritizes the needs and infrastructure of developed countries. However, 80% of people with disabilities living in developing countries cannot af
Externí odkaz:
https://doaj.org/article/1298b0a699c940089f797ec7783c5bd2
Autor:
Arturo González-Mendoza, Ivett Quiñones-Urióstegui, Sergio Salazar-Cruz, Alberto-Isaac Perez-Sanpablo, Ricardo López-Gutiérrez, Rogelio Lozano
Publikováno v:
Journal of Bionic Engineering. 19:1374-1391
This paper presents an upper limb exoskeleton that allows cognitive (through electromyography signals) and physical user interaction (through load cells sensors) for passive and active exercises that can activate neuroplasticity in the rehabilitation
Autor:
Irvin Hussein López-Nava, Marcela D. Rodriguez, Juan Pablo García-Vázquez, Alberto Isaac Perez-Sanpablo, Ivett Quiñones-Urióstegui, Alicia Meneses-Peñaloza, Víctor Castillo, German Cuaya-Simbro, Josué S. Armenta, Alicia Martínez, Wendy Sánchez, Karina Caro, Ana Isabel Martínez-García, Jesús Favela
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Autor:
Arturo González-Mendoza, Alberto-Isaac Perez-Sanpablo, Ivett Quiñones-Urióstegui, R. López-Gutíerrez, Sergio Salazar-Cruz
Publikováno v:
2nd EAI International Conference on Smart Technology ISBN: 9783031076695
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbb8cc6713b5ad1df775dcb8fe759f42
https://doi.org/10.1007/978-3-031-07670-1_12
https://doi.org/10.1007/978-3-031-07670-1_12
Autor:
Lidia Nuñez-Carrera, Alberto-Isaac Perez-Sanpablo, Ivett Quiñones Uriostegui, German Cuaya-Simbro, Angélica Muñoz-Meléndez, Eduardo-F. Morales-Manzanares
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 45, Iss 2, Pp 66-77 (2020)
Falls are a multifactorial cause of injuries for older people. Subjects with osteoporosis are more vulnerable to falls. The focus of this study is to investigate the performance of the different machine learning models built on spatiotemporal gait pa
Autor:
Juan M. Ibarra-Zannatha, Catherine Disselhorst-Klug, Santos M. Orozco-Soto, Elisa Romero-Avila, Alberto Isaac Perez-SanPablo
Publikováno v:
Research in Computing Science. 148:267-275
Autor:
Alberto Isaac Perez Sanpablo, Jesus-Albany Armenta-García, Angélica Figueroa Muñiz, Alicia Meneses Peñaloza, Alejandra Mendoza-Arguilés, Marcela D. Rodríguez
Publikováno v:
Journal of biomedical informatics. 132
The main contribution of this paper is the application of the Persuasive System Design (PSD) model for the analysis and development of exergame systems to stimulate pediatric patients to adhere to short-term gait rehabilitation. It resulted in a nove
Autor:
Ana Valeria Aguirre-Güemez, Yannick Quijano-González, Aida Barrera-Ortiz, Marco Romero-Ixtla, Jimena Quinzaños-Fresnedo, Gerardo Rodríguez-Reyes, Alberto Isaac Perez-SanPablo, Ramiro Pérez-Zavala
Publikováno v:
J Spinal Cord Med
BACKGROUND: Trunk control (TC) constitutes one of the main objectives in the rehabilitation of people with a spinal cord injury (SCI), but there are few clinically validated tests to assess it. Accelerometers have been proposed as sensitive and suita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462965217bbda1c3929168dc96169b45
Autor:
Alberto Isaac Perez-SanPablo, Ivett Quiñones-Uriostegui, Ricardo Lopez-Gutierrez, Arturo Gonzalez-Mendoza, Sergio Salazar-Cruz
Publikováno v:
2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
CCE
CCE
Medical robotic systems might play an important role by assisting the healthcare personal by allowing patients to continue their therapy at home and protecting the healthcare personal and patients from COVID-19 with social distancing [1]. This articl
Autor:
Virginia Bueyes Roiz, Alberto Isaac Perez Sanpablo, Claudia Hernandez Arenas, Ivett Quiñones Uriostegui, Jimena Quinzaños Fresnedo, Alicia Meneses Penaloza
Publikováno v:
Archives of Physical Medicine and Rehabilitation. 102:e103
Research Objectives To investigate the accuracy of four discriminant analysis methods to classify activities of subjects with Parkinson's Disease (PD) to support remote monitoring of performance using wearable sensors. Design Activities were classifi