Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Carles 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
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:
Matteo Serafino, Higor S Monteiro, Shaojun Luo, Saulo D S Reis, Carles Igual, Antonio S Lima Neto, Matías Travizano, José S Andrade, Hernán A Makse
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 4, p e1009865 (2022)
The spread of COVID-19 caused by the SARS-CoV-2 virus has become a worldwide problem with devastating consequences. Here, we implement a comprehensive contact tracing and network analysis to find an optimized quarantine protocol to dismantle the chai
Externí odkaz:
https://doaj.org/article/141ba2bea35c4d798fd74ab34ab64a92
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
Autor:
Carles Igual Bañó
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[ES] Mucha gente en el mundo se ve afectada por la pérdida de una extremidad (las predicciones estiman que en 2050 habrá más de 3 millones de personas afectadas únicamente en los Estados Unidos de América). A pesar de la continua mejora en las t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71eb958f1c6308f57c2674abad269b80
https://hdl.handle.net/10251/168192
https://hdl.handle.net/10251/168192
Publikováno v:
Control of Prosthetic Hands: Challenges and emerging avenues ISBN: 9781785619847
Control of Prosthetic Hands: Challenges and emerging avenues
Control of Prosthetic Hands: Challenges and emerging avenues
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c44804c42baca61ea33c7c23e9951b6
https://doi.org/10.1049/pbhe022e_ch8
https://doi.org/10.1049/pbhe022e_ch8
Publikováno v:
Electronics, Vol 8, Iss 11, p 1244 (2019)
[EN] State-of-the-art high-end prostheses are electro-mechanically able to provide a great variety of movements. Nevertheless, in order to functionally replace a human limb, it is essential that each movement is properly controlled. This is the goal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f31b84eaaffce3070575f3c9c3a79704
https://doi.org/10.3390/electronics8111244
https://doi.org/10.3390/electronics8111244
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 27(2)
In proportional myographic control, one can control either position or velocity of movement. Here, we propose to use adaptive auto-regressive filters, so as to gradually adjust between the two. We implemented this in an adaptive system with closed-lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d0520b837f0071220a868358eebb6b6
https://pubmed.ncbi.nlm.nih.gov/30676969
https://pubmed.ncbi.nlm.nih.gov/30676969