Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Alvaro A. Orozco"'
Autor:
Nieto, Roger Gomez, Meza, Andres Marino Alvarez, Correa, Julian David Echeverry, Gutierrez, Alvaro Angel Orozco
Parkinson's disease (PD) is a degenerative condition of the nervous system, which manifests itself primarily as muscle stiffness, hypokinesia, bradykinesia, and tremor. In patients suffering from advanced stages of PD, Deep Brain Stimulation neurosur
Externí odkaz:
http://arxiv.org/abs/1706.04254
Autor:
Walter Serna-Serna, De Bodt, Cyril, Andres M. Alvarez-Meza, Lee, John Aldo, Verleysen, Michel, Alvaro A. Orozco-Gutierrez
Publikováno v:
Neurocomputing, Vol. 550, no.1, p. 126496 (2023)
Unsupervised dimensionality reduction (DR) aims to preserve input data structure in a low-dimensional (LD) space based on neighborhood information. In contrast, supervised DR intends to improve the learning performance, i.e., classification and regre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::a0fdad4d9b59a655ddb988162ee593a9
https://hdl.handle.net/2078.1/276608
https://hdl.handle.net/2078.1/276608
Autor:
Iván De La Pava Panche, Viviana Gómez-Orozco, Mauricio Alexander Álvarez-López, Óscar Alberto Henao-Gallo, Genaro Daza-Santacoloma, Alvaro Ángel Orozco-Gutiérrez
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 84 (2017)
The volume of tissue activated (VTA) is a well-established approach to model the direct effect of deep brain stimulation (DBS) on neural tissue. Previous studies have pointed to its potential clinical applications. However, the elevated computational
Externí odkaz:
https://doaj.org/article/44937dace869426f9fee651c22e45707
Autor:
Viviana Gomez-Orozco, Cristian Blanco Martinez, David Augusto Cardenas-Pena, Paula Marcela Herrera, Alvaro Angel Orozco-Guitierrez
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Brain-Computer Interface (BCI) is applied in the study of different cognitive processes or clinical conditions as enhancing cognitive skills, motor rehabilitation, and control. However, many approaches focus on using a robust classifier instead of pr
Publikováno v:
Expert Systems with Applications. 118:92-108
Diffusion magnetic resonance imaging (dMRI) is an established medical technique used for describing water diffusion in an organic tissue. Typically, rank-2 or 2nd-order tensors quantify this diffusion. From this quantification, it is possible to calc
The development of analysis methods for categorical data begun in 90's decade, and it has been booming in the last years. On the other hand, the performance of many of these methods depends on the used metric. Therefore, determining a dissimilarity m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2475d3c452e8da50071a12e5210e88a
https://zenodo.org/record/4636094
https://zenodo.org/record/4636094
Autor:
David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Cristian A. Torres-Valencia, Alvaro A. Orozco, Mauricio A. Álvarez
Publikováno v:
Applied Sciences
Volume 10
Issue 19
Torres-Valencia, C, Orozco, Á, Cárdenas-Peña, D, Álvarez-Meza, A & Álvarez, M 2020, ' A discriminative multi-output gaussian processes scheme for brain electrical activity analysis ', Applied Sciences (Switzerland), vol. 10, no. 19, 6765, pp. 1-15 . https://doi.org/10.3390/app10196765
Applied Sciences, Vol 10, Iss 6765, p 6765 (2020)
Volume 10
Issue 19
Torres-Valencia, C, Orozco, Á, Cárdenas-Peña, D, Álvarez-Meza, A & Álvarez, M 2020, ' A discriminative multi-output gaussian processes scheme for brain electrical activity analysis ', Applied Sciences (Switzerland), vol. 10, no. 19, 6765, pp. 1-15 . https://doi.org/10.3390/app10196765
Applied Sciences, Vol 10, Iss 6765, p 6765 (2020)
The study of brain electrical activity (BEA) from different cognitive conditions has attracted a lot of interest in the last decade due to the high number of possible applications that could be generated from it. In this work, a discriminative framew
Publikováno v:
Journal on Multimodal User Interfaces. 11:327-340
Facial features are the basis for the emotion recognition process and are widely used in affective computing systems. This emotional process is produced by a dynamic change in the physiological signals and the visual answers related to the facial exp
Publikováno v:
International Journal of Machine Learning and Cybernetics. 9:1181-1192
Deep brain stimulation (DBS) of Subthalamic nucleus (STN) is the most successful treatment for advanced Parkinson’s disease. Localization of the STN through Microelectrode recordings (MER) is a key step during the surgery. However, it is a complex
Autor:
Alvaro A. Orozco, Hernán Darío Vargas-Cardona, Andrés Álvarez, Robinson Aguilar, Piedad Navarro
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
CIARP
Deep brain stimulation (DBS) is a neurosurgical method to treat symptoms of Parkinson’ disease. Several computational models, mostly based on finite element method (FEM) have been employed to describe the interaction of electromagnetic waves in bra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426f372b9dda8285f6aad7335754c17a
https://doi.org/10.1007/978-3-030-13469-3_86
https://doi.org/10.1007/978-3-030-13469-3_86