Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Julien Bonnal"'
Autor:
Ahmed Adham, Ba Thien Le, Julien Bonnal, Hugo Bessaguet, Etienne Ojardias, Pascal Giraux, Pascal Auzou
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-16 (2024)
Abstract Background Video-feedback observational therapy (VOT) is an intensive rehabilitation technique based on movement repetition and visualization that has shown benefits for motor rehabilitation of the upper and lower limbs. Despite an increase
Externí odkaz:
https://doaj.org/article/e64e5b0711bc40bd9a9b9431d27dc606
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-13 (2024)
Abstract Background Mirror therapy (MT) has been shown to be effective for motor recovery of the upper limb after a stroke. The cerebral mechanisms of mirror therapy involve the precuneus, premotor cortex and primary motor cortex. Activation of the p
Externí odkaz:
https://doaj.org/article/a68c88ac65c94b15aeba3b07e3e2a6d4
Autor:
Julien Bonnal, Fanny Monnet, Ba-Thien Le, Ophélie Pila, Anne-Gaëlle Grosmaire, Canan Ozsancak, Christophe Duret, Pascal Auzou
Publikováno v:
Sensors, Vol 22, Iss 15, p 5542 (2022)
Force and effort are important components of a motor task that can impact rehabilitation effectiveness. However, few studies have evaluated the impact of these factors on cortical activation during gait. The purpose of the study was to investigate th
Externí odkaz:
https://doaj.org/article/785d70426e884b6a8024219398b58a45
Publikováno v:
Brain Topography.
Characterization of cortical activation patterns during movements in healthy adults may help our understanding of how the injured brain works. Upper limb motor tasks are commonly used to assess impaired motor function and to predict recovery in indiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30001b408918372eeb4979bae8c28f20
https://doi.org/10.1007/s10548-023-00972-x
https://doi.org/10.1007/s10548-023-00972-x
Publikováno v:
Revue Neurologique. 178:S55-S56
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a5b450d12b8edf287db8eaca8efe79e
https://doi.org/10.1016/j.neurol.2022.02.246
https://doi.org/10.1016/j.neurol.2022.02.246
Autor:
Julien Bonnal, Nicolas Perret, Céline Gay, Tiphaine Marietta, Antoine Valery, Canan Ozsancak, Pascal Auzou
Publikováno v:
Revue Neurologique. 178:S66
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bfba4b81effe0121f0b4827b845b49c
https://doi.org/10.1016/j.neurol.2022.02.271
https://doi.org/10.1016/j.neurol.2022.02.271
Publikováno v:
Revue Neurologique. 177:S58
Introduction La connaissance du controle neurologique des differents mouvements du corps est un enjeu de neuroscience. La functionnal near infra red spectroscopy (fNIRS) permet d’etudier l’activite corticale lors de tâches motrices. Objectifs De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67b6d33685a044493f9eb7c9731078c8
https://doi.org/10.1016/j.neurol.2021.02.208
https://doi.org/10.1016/j.neurol.2021.02.208
Autor:
Canan Ozsancak, Julien Bonnal, Alexandra Perrot, Christophe Tomasino, Charles Germain, Pascal Auzou, Valéry Antoine
Publikováno v:
Revue Neurologique. 177:S57
Introduction Le vieillissement a des effets deleteres sur la fonction cognitive et l’activite motrice, la pratique de l’activite physique (AP) permettrait de ralentir ces effets. Objectifs Evaluer l’impact de la pratique d’AP sur le cortex pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e14f7081a517af9642d6236b498bcf1e
https://doi.org/10.1016/j.neurol.2021.02.207
https://doi.org/10.1016/j.neurol.2021.02.207
Autor:
Philippe Souères, Patrick Danes, Jerome Manhes, Julien Bonnal, Marc Renaud, Sylvain Argentieri
Publikováno v:
Journal of the Robotics Society of Japan. 28:10-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::998304cf22295b6eeda34a0e7d0e9577
https://doi.org/10.7210/jrsj.28.10
https://doi.org/10.7210/jrsj.28.10
Publikováno v:
IROS
The detection of a pattern in an audio sequence is considered. An approach relying on the Stochastic Matched Filtering theory is proposed. It consists in first defining offline a basis from the statistics of the pattern and of the noise, then in isol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b0817eef1a0b59d25fe980fceba39a6
https://doi.org/10.1109/iros.2010.5653257
https://doi.org/10.1109/iros.2010.5653257