Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ali Darroudi"'
Autor:
Mohammadreza Arzaghi, Neda Tizro, Parna Ghannadikhosh, Parisa Alsadat Dadkhah, Razieh Mohammadi-Dashtaki, Saleh Behzadi, Fereshteh Sohrabivafa, Kiana Naghavi, Ali Sanaye Abbasi, Ali Darroudi, Mohammad Abbasalizadeh, Ali kheirandish, Mohadeseh Poudineh, Niloofar Deravi, Fateme Sedghi, Hamed Fakhrabadi
Publikováno v:
Acta Medica Indonesiana, Vol 56, Iss 1 (2024)
Background: The purpose of this systematic review was to assess different studies that worked on university students’ health literacy during covid19 pandemic and to make an overview of this issue to recognize possible determinants associated with h
Externí odkaz:
https://doaj.org/article/0be9a8488f864d1da0bf50d345dc9e1f
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Background:The unexpected emergence of coronavirus disease 2019 (COVID-19) has changed mindsets about the healthcare system and medical practice in many fields, forcing physicians to reconsider their approaches to healthcare provision. It is necessar
Externí odkaz:
https://doaj.org/article/ce999f4b11264fdfb2d2c26621979b18
Autor:
Masoumeh Sarbaz, Alireza Banaye Yazdipour, Seyyedeh Fatemeh Mousavi Baigi, Ali Darroudi, Khalil Kimiafar
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
This study aimed to investigate the use of digital games for educational purposes among medical and paramedical sciences students at Mashhad University of Medical Sciences (Northeast of Iran). This cross-sectional study was conducted from July 2018 t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f84cc0ee0ab33651ac16a634f584c955
https://doi.org/10.3233/shti230169
https://doi.org/10.3233/shti230169
Publikováno v:
American Journal of Infection Control.
Publikováno v:
Bio-Medical Materials and Engineering. 28:325-338
Objective In this paper, an adaptive method based on error entropy criterion is presented in order to eliminate noise from Electroencephalogram (EEG) signals. Method Conventionally, the Mean-Squared Error (MSE) criterion is the dominant criterion dep
Publikováno v:
Electrical Engineering (ICEE), Iranian Conference on.
An adaptive filtering method is presented which eliminates ECG artifact from EMG signals based on error entropy criterion. In this method, the error distribution is estimated and minimized in an adaptive manner. Mean squared error (MSE) criterion onl
Autor:
Mohammad, Arab, Hesam, Ghiasvand, Rajab-Ali, Darroudi, Ali, Akbari Sari, Mohammad, Hamidi, Javad, Moghri
Publikováno v:
Hospital Journal; 2012, Vol. 11 Issue 3, p27-35, 9p