Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Colince Meli Segning"'
Publikováno v:
Sensors, Vol 24, Iss 12, p 3873 (2024)
Objective: The present pilot study aimed to propose an innovative scale-independent measure based on electroencephalographic (EEG) signals for the identification and quantification of the magnitude of chronic pain. Methods: EEG data were collected fr
Externí odkaz:
https://doaj.org/article/c106e63f34204ec3b175011edbe5c3de
Autor:
Colince Meli Segning, Jessica Harvey, Hassan Ezzaidi, Karen Barros Parron Fernandes, Rubens A. da Silva, Suzy Ngomo
Publikováno v:
Sensors, Vol 22, Iss 16, p 6272 (2022)
This proof-of-concept study explores the potential of developing objective pain identification based on the analysis of electroencephalography (EEG) signals. Data were collected from participants living with chronic fibromyalgia pain (n = 4) and from
Externí odkaz:
https://doaj.org/article/73a3f1fbd79a4b21b4f94234e0a1a280
Autor:
Adelaïde Nicole Kengnou Telem, Colince Meli Segning, Godpromesse Kenne, Hilaire Bertrand Fotsin
Publikováno v:
Advances in Multimedia, Vol 2014 (2014)
A robust gray image encryption scheme using chaotic logistic map and artificial neural network (ANN) is introduced. In the proposed method, an external secret key is used to derive the initial conditions for the logistic chaotic maps which are employ
Externí odkaz:
https://doaj.org/article/ec112b7b5d9244da85c8511a47aa3ef0
Publikováno v:
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 2001, p 2001 (2021)
Volume 18
Issue 4
International Journal of Environmental Research and Public Health, Vol 18, Iss 2001, p 2001 (2021)
Volume 18
Issue 4
We aimed to determine the neurophysiological pattern that is associated with the development of musculoskeletal pain that is induced by biomechanical constraints. Twelve (12) young healthy volunteers (two females) performed two experimental realistic