Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Jorge Igual"'
Autor:
Carles Igual, Jorge Igual
Publikováno v:
Sensors, Vol 24, Iss 10, p 3101 (2024)
Machine learning-based controllers of prostheses using electromyographic signals have become very popular in the last decade. The regression approach allows a simultaneous and proportional control of the intended movement in a more natural way than t
Externí odkaz:
https://doaj.org/article/8ed473f0ebce4f4699ac9bf49fb33b86
Autor:
Pedro Parik-Americano, Jorge Igual, Larissa Driemeier, Eric Cito Becman, Arturo Forner-Cordero
Publikováno v:
Biomimetics, Vol 9, Iss 5, p 265 (2024)
In this paper, we address the challenge of ensuring stability in bipedal walking robots and exoskeletons. We explore the feasibility of real-time implementation for the Predicted Step Viability algorithm (PSV), a complex multi-step optimization crite
Externí odkaz:
https://doaj.org/article/c712964045714380924ae57658cd8b7b
Publikováno v:
Digital Health, Vol 9 (2023)
Introduction Digital literacy helps patients to be more informed in order to make decisions about their health. Patient empowerment in the digital realm is a duty for all healthcare professionals, but nurses are the most numerous professionals in all
Externí odkaz:
https://doaj.org/article/9db6a16086ed49ee8b73daba0937d495
Publikováno v:
Computers, Vol 13, Iss 1, p 29 (2024)
Electromyography-based wearable biosensors are used for prosthetic control. Machine learning prosthetic controllers are based on classification and regression models. The advantage of the regression approach is that it permits us to obtain a smoother
Externí odkaz:
https://doaj.org/article/93711b674db24627911ed2f80848a771
Autor:
Laëtitia Launet, Yuandou Wang, Adrián Colomer, Jorge Igual, Cristian Pulgarín-Ospina, Spiros Koulouzis, Riccardo Bianchi, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo, Zhiming Zhao
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 919 (2023)
Deep learning-based algorithms have led to tremendous progress over the last years, but they face a bottleneck as their optimal development highly relies on access to large datasets. To mitigate this limitation, cross-silo federated learning has emer
Externí odkaz:
https://doaj.org/article/1efbf6ae12c34873b162e6bc3f1d2c77
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Applied Sciences, Vol 10, Iss 8, p 2892 (2020)
New upper limb prostheses controllers are continuously being proposed in the literature. However, most of the prostheses commonly used in the real world are based on very old basic controllers. One reason to explain this reluctance to change is the l
Externí odkaz:
https://doaj.org/article/e2e3a372430040b089c3f314b3a6b4b2
Publikováno v:
Sensors, Vol 20, Iss 4, p 1005 (2020)
Estimated blind people in the world will exceed 40 million by 2025. To develop novel algorithms based on fundus image descriptors that allow the automatic classification of retinal tissue into healthy and pathological in early stages is necessary. In
Externí odkaz:
https://doaj.org/article/0b81c2023a9c4d69bc484bf63677984c
Publikováno v:
Sensors, Vol 15, Iss 5, Pp 11528-11550 (2015)
The detection and identification of internal defects in a material require the use of some technology that translates the hidden interior damages into observable signals with different signature-defect correspondences. We apply impact-echo techniques
Externí odkaz:
https://doaj.org/article/24666d10958140e48b4e64e216041cb4
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 20; Pages: 13187
The new times, marked by immediacy, globalization, and technological advances, has forced health professionals to develop new competencies to adapt to the new challenges. However, necessary skills such as using digital tools are primarily ignored by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5374bfdf727e8eb4ac38ce9a0cbeb3ae