Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin O. Méndez"'
Autor:
Raquel Delgado-Aranda, Guadalupe Dorantes-Méndez, Anna Maria Bianchi, Juha M. Kortelainen, Stefania Coelli, Jorge Jimenez-Cruz, Martin O. Méndez
Publikováno v:
Frontiers in Neuroergonomics, Vol 5 (2024)
IntroductionSleep-wake cycle disruption caused by shift work may lead to cardiovascular stress, which is observed as an alteration in the behavior of heart rate variability (HRV). In particular, HRV exhibits complex patterns over different time scale
Externí odkaz:
https://doaj.org/article/388a670f466e4732b8776e80efe7dc10
Publikováno v:
Frontiers in Neuroergonomics, Vol 5 (2024)
Externí odkaz:
https://doaj.org/article/1c6e069215134a90a2467d5f70a12ff0
Autor:
Martin O. Mendez, Anna M. Bianchi, Florian Recker, Brigitte Strizek, J. S. Murguía, Pierluigi Reali, Jorge Jimenez-Cruz
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Understanding the complex dynamics of heart rate variability (HRV) during pregnancy is crucial for monitoring both maternal well-being and fetal health. In this study, we use the Multifractal Detrended Fluctuations Analysis approach to investigate HR
Externí odkaz:
https://doaj.org/article/bfd376305826459fa1d783d942df5b0a
Autor:
D. I. Medina-Ibarra, I. Chouvarda, J. S. Murguia, Alfonso Alba, Edgar R. Arce-Santana, Anna M. Bianchi, Martin O. Mendez
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2721-2731 (2022)
Electroencephalography (EEG) signals convey information related to different processes that take place in the brain. From the EEG fluctuations during sleep, it is possible to establish the sleep stages and identify short events, commonly related to a
Externí odkaz:
https://doaj.org/article/013012b2dcbc42a9b332b9a5d2d02fe8
Autor:
Davide Coluzzi, Giuseppe Baselli, Anna Maria Bianchi, Guillermina Guerrero-Mora, Juha M. Kortelainen, Mirja L. Tenhunen, Martin O. Mendez
Publikováno v:
Sensors, Vol 22, Iss 14, p 5295 (2022)
Sleep disorders are a growing threat nowadays as they are linked to neurological, cardiovascular and metabolic diseases. The gold standard methodology for sleep study is polysomnography (PSG), an intrusive and onerous technique that can disrupt norma
Externí odkaz:
https://doaj.org/article/40aca0b883ea461384fb1c969ef3e136