Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Oliver Heeb"'
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 20, Iss 1, Pp 1-13 (2023)
Abstract Background Assistive robotic hand orthoses can support people with sensorimotor hand impairment in many activities of daily living and therefore help to regain independence. However, in order for the users to fully benefit from the functiona
Externí odkaz:
https://doaj.org/article/28724b88f079407aa9217372a48fc195
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Ankle joint power is usually determined by a complex process that involves heavy equipment and complex biomechanical models. Instead of using heavy equipment, we proposed effective machine learning (ML) and deep learning (DL) models to estimate the a
Externí odkaz:
https://doaj.org/article/f24b4b8b972640a18c5eb78697a45156
Autor:
Natalia Polouliakh, Vanessa Ludwig, Akira Meguro, Tatsukata Kawagoe, Oliver Heeb, Nobuhisa Mizuki
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Externí odkaz:
https://doaj.org/article/52f8bba4a16f4e678f6a867acabca409
Autor:
Natalia Polouliakh, Vanessa Ludwig, Akira Meguro, Tatsukata Kawagoe, Oliver Heeb, Nobuhisa Mizuki
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Alpha-arbutin (4-hydroxyphenyl alpha-glucopyranoside) is a known inhibitor of tyrosinase in keratinocytes; however, its effect on other genes and pathways in other skin cells has not been thoroughly investigated. In this study, we investigate the mec
Externí odkaz:
https://doaj.org/article/40a0f2454d5c44c5ab6eb1dbc5f2131b
Background: Assistive robotic hand orthoses can support people with sensorimotor hand impairment in many activities of daily living and therefore help to regain independence. However, in order for the users to fully benefit from the functionalities o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f7c9cb487f21662dfe8dc647842bef
https://doi.org/10.21203/rs.3.rs-2594360/v1
https://doi.org/10.21203/rs.3.rs-2594360/v1
Publikováno v:
Frontiers in neurorobotics. 16
Ankle joint power is usually determined by a complex process that involves heavy equipment and complex biomechanical models. Instead of using heavy equipment, we proposed effective machine learning (ML) and deep learning (DL) models to estimate the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0f5cc8d1fc868e3c4ca5607192da4fe0
https://pubmed.ncbi.nlm.nih.gov/35431852
https://pubmed.ncbi.nlm.nih.gov/35431852