Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Somayeh Mohammadi Far"'
Autor:
Mohammad Shahbakhti, Matin Beiramvand, Erfan Nasiri, Somayeh Mohammadi Far, Wei Chen, Jordi Sole-Casals, Michal Wierzchon, Anna Broniec-Wojcik, Piotr Augustyniak, Vaidotas Marozas
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2037-2046 (2023)
Objective: The driver fatigue detection using multi-channel electroencephalography (EEG) has been extensively addressed in the literature. However, the employment of a single prefrontal EEG channel should be prioritized as it provides users with more
Externí odkaz:
https://doaj.org/article/905430320c7d4d79afe11196650b42d8
Prediction of Preterm Labor from the Electrohysterogram Signals Based on Different Gestational Weeks
Publikováno v:
Sensors, Vol 23, Iss 13, p 5965 (2023)
Timely preterm labor prediction plays an important role for increasing the chance of neonate survival, the mother’s mental health, and reducing financial burdens imposed on the family. The objective of this study is to propose a method for the reli
Externí odkaz:
https://doaj.org/article/ce8a0a0df80546acbb5377c9f9aa3640
Publikováno v:
Sensors, Vol 22, Iss 4, p 1507 (2022)
Objective: The early prediction of preterm labor can significantly minimize premature delivery complications for both the mother and infant. The aim of this research is to propose an automatic algorithm for the prediction of preterm labor using a sin
Externí odkaz:
https://doaj.org/article/d959f126ce314904a43aae40fe01aae7
Prediction of Preterm Labor from the Electrohysterogram Signals Based on Different Gestational Weeks
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 5965
Timely preterm labor prediction plays an important role for increasing the chance of neonate survival, the mother’s mental health, and reducing financial burdens imposed on the family. The objective of this study is to propose a method for the reli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3a4ca681ba1eda41b30c65c5706e61c6
Publikováno v:
EMBC
Electrohysterogram (EHG) signal represents electrical activity of uterine collected from abdominal surface of pregnant women. It has been proven that EHG analysis could be a suitable way to predict preterm labor and consequently to prevent it. The ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9e4fe74d3b5d8a1cd91907d50278b6f
https://pubmed.ncbi.nlm.nih.gov/31946904
https://pubmed.ncbi.nlm.nih.gov/31946904