Zobrazeno 1 - 10
of 62
pro vyhledávání: '"German Castellanos Dominguez"'
Autor:
Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11208 (2024)
Brain–computer interfaces (BCIs) are essential in advancing medical diagnosis and treatment by providing non-invasive tools to assess neurological states. Among these, motor imagery (MI), in which patients mentally simulate motor tasks without phys
Externí odkaz:
https://doaj.org/article/95fe16b456ae45c3b5cbc6e7b98a3d38
The administration of regional neuraxial analgesia for pain relief during labor is widely recognized as a safe and effective method involving medication delivery into the epidural or subarachnoid space in the lower back. This study proposes an innova
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2da395ca2677185350088fc72a2aef4e
https://doi.org/10.20944/preprints202305.0670.v1
https://doi.org/10.20944/preprints202305.0670.v1
Autor:
Yu-Dong, Zhang, German, Castellanos-Dominguez, Yuankai, Huo, Juan Manuel, Gorriz, Roohallah, Alizadehsani
This topic reports the recent intelligent recognition and detection methods/applications via voice data, EEG, retina images, MRI, PET, and OCT. With the help of intelligent recognition and detection methods, those models can help realize analysis, en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c69e5e352f18ddbf8385b018e9e6cd3c
http://hdl.handle.net/10481/76555
http://hdl.handle.net/10481/76555
Autor:
Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño-Duque, German Castellanos-Dominguez
Publikováno v:
Sensors; Volume 23; Issue 7; Pages: 3763
An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation. It exploits robust hardware platforms and powerful software development kits to create
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d496278bf1faf833e39b5572c1e82553
https://doi.org/10.3390/s23073763
https://doi.org/10.3390/s23073763
Autor:
Jenniffer Carolina Triana-Martinez, Julian Gil-González, Jose A. Fernandez-Gallego, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez
Publikováno v:
Sensors; Volume 23; Issue 7; Pages: 3518
Supervised learning requires the accurate labeling of instances, usually provided by an expert. Crowdsourcing platforms offer a practical and cost-effective alternative for large datasets when individual annotation is impractical. In addition, these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb8d0c86e5d735b951b4cbbd93160a6b
https://doi.org/10.3390/s23073518
https://doi.org/10.3390/s23073518
Autor:
Daniel Guillermo García-Murillo, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez
Publikováno v:
Diagnostics; Volume 13; Issue 6; Pages: 1122
This paper uses EEG data to introduce an approach for classifying right and left-hand classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity Network (KCS-FCnet) method addresses these limitations by providing richer sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2d3a7d6596174734f28a00c60bcae4
https://doi.org/10.3390/diagnostics13061122
https://doi.org/10.3390/diagnostics13061122
Publikováno v:
Sensors; Volume 22; Issue 15; Pages: 5771
The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most studied technologies for Brain-Computer Interface (BCI) development. Still, the low Signal-to-Noise Ratio (SNR) poses a challenge when constructing EEG-based BCI sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c4f6162570af9b9c3a3dd7acd7e2d52
https://doi.org/10.3390/s22155771
https://doi.org/10.3390/s22155771
Interpretation of brain activity responses using Motor Imagery (MI) paradigms is vital for medical diagnosis and monitoring. Assessed by machine learning techniques, identification of imagined actions is hindered by substantial intra and inter subjec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60a73cb0dd254ba7dc3c7b08fbc63272
https://doi.org/10.21203/rs.3.rs-27669/v1
https://doi.org/10.21203/rs.3.rs-27669/v1
Publikováno v:
Applied Sciences, Vol 12, Iss 1695, p 1695 (2022)
Applied Sciences; Volume 12; Issue 3; Pages: 1695
Applied Sciences; Volume 12; Issue 3; Pages: 1695
Brain activity stimulated by the motor imagery paradigm (MI) is measured by Electroencephalography (EEG), which has several advantages to be implemented with the widely used Brain–Computer Interfaces (BCIs) technology. However, the substantial inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e49bc608b61626ad1b4efc72e5231733
https://doi.org/10.3390/app12031695
https://doi.org/10.3390/app12031695
Publikováno v:
The MIDAS Journal.
A new patch based label fusion method based on generative approach is proposed for segmentation of mandible, brainstem, parotid and submandibular glands, optic nerves and the optic chiasm in head and neck CT images. The proposal constructs local clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ba05df6fa33994eaf6b7df6580219e4
https://doi.org/10.54294/pbx1zn
https://doi.org/10.54294/pbx1zn