Exploració per autor "Marateb, Hamid Reza"
Ara es mostren els items 21-37 de 37
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Logic regression analysis of gene polymorphisms and HDL levels in a nationally representative sample of Iranian adolescents: The CASPIAN-III study
Moghadasi, Mehri; Kelishadi, Roya; Marateb, Hamid Reza (2017-01-01)
Article
Accés obertBackground: To investigate the associations of genetic polymorphism with high-density lipoprotein-cholesterol (HDL-C) levels in Iranian adolescents. Methods: This multicentre study was conducted on 10 - 18 year-old students ... -
Non-invasive decoding of the motoneurons: A guided source separation method based on convolution kernel compensation with clustered initial points
Mohebian, Mohammad Reza; Marateb, Hamid Reza; Karimimehr, Saeed; Mañanas Villanueva, Miguel Ángel; Kranjec, Jernej; Holobar, Ales (2019-04-01)
Article
Accés obertDespite the progress in understanding of neural codes, the studies of the cortico-muscular coupling still largely rely on interferential electromyographic (EMG) signal or its rectification for the assessment of motor neuron ... -
Outlier detection in high-density surface electromyographic signals
Marateb, Hamid Reza; Rojas Martínez, Mónica; Mansourian Gharakozlou, Marjan; Merletti, R.; Mañanas Villanueva, Miguel Ángel (2012-01)
Article
Accés restringit per política de l'editorialRecently developed techniques allow the analysis of surface EMG in multiple locations over the skin surface (high-density surface electromyography, HDsEMG). The detected signal includes information from a greater ... -
PARS risk charts: A 10-year study of risk assessment for cardiovascular diseases in Eastern Mediterranean Region
Sarrafzadegan, Nizal; Hassannejad, Razieh; Marateb, Hamid Reza; Talaei, Mohammad; Sadeghi, Masoumeh; Roohafza, Hamid Reza; Masoudkabir, Farzad; OveisGharan, Shahram; Mañanas Villanueva, Miguel Ángel; Mohebian, Mohammad Reza; Mansourian Gharakozlou, Marjan (2017-12-19)
Article
Accés obertThis study was designed to develop a risk assessment chart for the clinical management and prevention of the risk of cardiovascular disease (CVD) in Iranian population, which is vital for developing national prevention ... -
Pathways leading to prevention of fatal and non-fatal cardiovascular disease: An interaction model on 15 years populationbased cohort study
Shakibaei, Najmeh; Hassannejad, Razieh; Mohammadifard, Noushin; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Sarrafzadegan, Nizal (2020-09-05)
Article
Accés obertBACKGROUND: A comprehensive study on the interaction of cardiovascular disease (CVD) risk factors is critical to prevent cardiovascular events. The main focus of this study is thus to understand direct and indirect ... -
Post-discharge health assessment in survivors of coronavirus disease: a time-point analysis of a prospective cohort study
Samí, Ramin; Arabi, Sina; Ghasemi, Khojasteh; Akafzadeh Savari, Mahsa; Ebrahimi, Sara; Toghyani, Arash; Mahvari, Razieh; Moayednia, Reza; Dadkhahi, Seyed Amir; Sadeghi, Sara; Marateb, Hamid Reza; Adibi, Peyman; Kavosh, Aryan; Mansourian Gharakozlou, Marjan (Springer Nature, 2023-05-07)
Article
Accés obertPURPOSE: The objective of this study was to quantitatively evaluate psychological and quality of life-related complications at three months following discharge in hospitalized coronavirus disease 2019 (COVID-19) patients ... -
Predicting COVID-19 hospital stays with Kolmogorov-Gabor polynomials: charting the future of care
Marateb, Hamid Reza; Norouzirad, Mina; Tavakolian, Kouhyar; Aminorroaya, Faezeh; Mohebbian, Mohammad Reza; Mañanas Villanueva, Miguel Ángel; Romero Lafuente, Sergio; Samí, Ramin; Mansourian Gharakozlou, Marjan (Multidisciplinary Digital Publishing Institute (MDPI), 2023-10-31)
Article
Accés obertOptimal allocation of ward beds is crucial given the respiratory nature of COVID-19, which necessitates urgent hospitalization for certain patients. Several governments have leveraged technology to mitigate the pandemic’s ... -
Prediction of dyslipidemia using gene mutations, family history of diseases and anthropometric indicators in children and adolescents: The CASPIAN-III study
Marateb, Hamid Reza; Mohebian, Mohammad Reza; Javanmard, Shaghayegh Haghjooy; Mañanas Villanueva, Miguel Ángel (Elsevier, 2018-01-01)
Article
Accés obertDyslipidemia, the disorder of lipoprotein metabolism resulting in high lipid profile, is an important modifiable risk factor for coronary heart diseases. It is associated with more than four million worldwide deaths per ... -
Prosthesis control using undersampled surface electromyographic signals
Marateb, Hamid Reza; Ziaie Nezhad, Farzad; Nosouhi, Marjan; Nasr Esfahani, Zahra; Fazilati, Farzaneh; Yusefi, Fatemeh; Amiri, Golnaz; Maleki Far, Negar; Rastegari, Mohsen; Mohebbian, Mohammad Reza; Wahid, Khan A.; Jordanic, Mislav; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Mansourian Gharakozlou, Marjan (CRC Press, 2021-08-11)
Capítol de llibre
Accés restringit per política de l'editorialAmputations can result in disability, permanent physical injury, and even posttraumatic stress disorder. Upper extremity amputations are mostly work-related, and such injuries include about 7% of the total burden of disease. ... -
Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design
Azimi, Tayebe; Koochekian, Amirhossein; Marateb, Hamid Reza; Shirzadi, Mehdi; Rojas Martínez, Mónica Marlene; Alonso López, Joan Francesc; Bachiller Matarranz, Alejandro; Mansourian Gharakozlou, Marjan; Rubio Rivas, Manuel; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2022-12)
Capítol de llibre
Accés restringit per política de l'editorialChapter 3 discusses the role of sensors in cases of moderate COVID-19 infection that may be linked to cognitive impairments; such prediction systems are promising for smart healthcare design. -
Reliable and accurate information extraction from surface electromyographic signals
Marateb, Hamid Reza; Jordanic, Mislav; Rojas Martínez, Mónica Marlene; Alonso López, Joan Francesc; Serna Higuita, Leidy Yanet; Shirzadi, Mehdi; Nosouhi, Marjan; Mañanas Villanueva, Miguel Ángel; McGill, Kevin (Institute of Physics (IOP), 2020-08)
Capítol de llibre
Accés restringit per política de l'editorialThe electrical activity generated in contracting muscles is measured using electromyographic (EMG) signals. By placing an array of electrodes on the surface of the skin, surface EMG (sEMG) signals are recorded non-invasively. ... -
Reliable diagnosis and prognosis of COVID-19
Mansourian Gharakozlou, Marjan; Marateb, Hamid Reza; von Cube, Maja; Khademi, Sadaf; Jordanic, Mislav; Mañanas Villanueva, Miguel Ángel; Binder, Harald; Wolkewitz, Martin (CRC Press, 2021-04-28)
Capítol de llibre
Accés restringit per política de l'editorialThe 2019 novel coronavirus disease (COVID-19) epidemic was officially announced by the World Health Organization (WHO) as an international public health emergency. The medical research world is responding to the COVID-19 ... -
Rigorous performance assessment of the algorithms for resolving motor unit action potential superpositions
Shirzadi, Mehdi; Marateb, Hamid Reza; McGill, Kevin; Mañanas Villanueva, Miguel Ángel (2021-02-01)
Article
Accés obertIt is necessary to decompose the intra-muscular EMG signal to extract motor unit action potential (MUAP) waveforms and firing times. Some algorithms were proposed in the literature to resolve superimposed MUAPs, including ... -
Robust outlier detection in high density surface electromyographic signals
Marateb, Hamid Reza; Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Ángel; Merletti, R. (2010)
Comunicació de congrés
Accés restringit per política de l'editorialHigh Density surface Electromyography (HDsEMG) has been applied in both research and clinical applications for non-invasive neuromuscular assessment in several different fields using 2-D array. Proper interpretation of ... -
Target trial emulation using hospital-based observational data: demonstration and application in COVID-19
Martinuka, Oksana; von Cube, Maja; Hazard, Derek; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Samí, Ramin; Hajian, Mohammad Reza; Ebrahimi, Sara; Wolkewitz, Martin (Multidisciplinary Digital Publishing Institute (MDPI), 2023-03-13)
Article
Accés obertMethodological biases are common in observational studies evaluating treatment effectiveness. The objective of this study is to emulate a target trial in a competing risks setting using hospital-based observational data. ... -
Target trial emulation with multi-state model analysis to assess treatment effectiveness using clinical COVID-19 data
Martinuka, Oksana; Hazard, Derek; Marateb, Hamid Reza; Maringe, Camille; Mansourian Gharakozlou, Marjan; Rubio Rivas, Manuel; Wolkewitz, Martin (Springer Nature, 2023-09-02)
Article
Accés obertBackground: Real-world observational data are an important source of evidence on the treatment effectiveness for patients hospitalized with coronavirus disease 2019 (COVID-19). However, observational studies evaluating ... -
The application of Industry 4.0 technologies for automated health monitoring and surveillance during pandemics and postpandemic life
Marateb, Hamid Reza; Rojas Martínez, Mónica Marlene; Zamani, Shadi; Shirzadi, Mehdi; Koochekian, Amirhossein; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2023-06-01)
Capítol de llibre
Accés restringit per política de l'editorialIndustry 4.0 signifies a new step in the control and organization of the manufacturing value chain. It can provide better digital solutions for our day-to-day lives during pandemics and post-pandemic life, including better ...