Exploració per autor "Mañanas Villanueva, Miguel Ángel"
Ara es mostren els items 62-81 de 97
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MEG Connectivity Analysis in Patients with Alzheimer’s Disease Using Cross Mutual Information and Spectral Coherence
Alonso López, Joan Francesc; Poza Crespo, Jesús; Mañanas Villanueva, Miguel Ángel; Romero Lafuente, Sergio; Fernández Lucas, Alberto; Hornero Sánchez, Roberto (2011-01)
Article
Accés restringit per política de l'editorial -
Model de gestió tecnològica i científica per a un hospital públic (fase 2)
Mañanas Villanueva, Miguel Ángel (2009)
Pòster (projecte CCD)
Accés obert -
Modeling of heart rate variability and respiratory muscle activity in organophosphate poisoned patients
Salazar, Maria Bernarda; Hernández, Alher Mauricio; Mañanas Villanueva, Miguel Ángel (2019-11-01)
Article
Accés obertWe propose an extended model of cardiovascular regulation to assess heart rate variability in patients poisoned with organophosphate during their treatment with mechanical ventilation. The model was modified to fit a ... -
Monitoring sleep depth: analysis of bispectral index (BIS) based on polysomnographic recordings and sleep deprivation
Giménez Badia, Sandra; Romero Lafuente, Sergio; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Pujol, Anna; Baxarias, Pilar; Antonijoan Arbós, Rosa Maria (2015-11-14)
Article
Accés obert© 2015 Springer Science+Business Media Dordrecht The assessment and management of sleep are increasingly recommended in the clinical practice. Polysomnography (PSG) is considered the gold standard test to monitor sleep ... -
Neurophysiological evidence of compensatory brain mechanisms in early-stage multiple sclerosis
Lopez Gongora, Mariana; Escartín, José Antonio; Martinez Horta, Saul; Fernandez De Bobadilla, Ramon; Querol, Luis; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel; Riba Serrano, Jordi (2015-08-31)
Article
Accés obertMultiple sclerosis (MS) is a chronic central nervous system disorder characterized by white matter inflammation, demyelination and neurodegeneration. Although cognitive dysfunction is a common manifestation, it may go ... -
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 ... -
Novel Modeling of Work of Breathing for Its Optimization During Increased Respiratory Efforts
Serna Higuita, Leidy Yanet; Mañanas Villanueva, Miguel Ángel; Hernández Valdivieso, Alher Mauricio; Marín Sánchez, Jesús; Benito Vales, Salvador (2016-09-01)
Article
Accés obertThe respiratory control system is one of the most complex physiological systems, whose controller has been extensively modeled based on the criterion of minimizing work of breathing (WOB). However, cost functions and their ... -
Ocular Reduction in EEG Signals Based on Adaptive Filtering, Regression and Blind Source Separation
Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel; Barbanoj, Manel J. (2009-01)
Article
Accés obertQuantitative electroencephalographic (EEG) analysis is very useful for diagnosing dysfunctional neural states and for evaluating drug effects on the brain, among others. However, the bidirectional contamination between ... -
Optimization techniques in respiratory control system models
Serna Higuita, Leidy Yanet; Mañanas Villanueva, Miguel Ángel; Marín Sánchez, Jesús; Hernández Valdivieso, Alher Mauricio; Benito, S. (2016-11-01)
Article
Accés obertOne of the most complex physiological systems whose modeling is still an open study is the respiratory control system where different models have been proposed based on the criterion of minimizing the work of breathing ... -
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 ... -
Potential clinical application of surface electromyography as indicator of neuromuscular recovery during weaning tests after organophosphate poisoning
Salazar Sánchez, Maria Bernarda; Hernández Valdivieso, Alher Mauricio; Mañanas Villanueva, Miguel Ángel; Zuluaga Salazar, Andrés Felipe (2017-06)
Article
Accés obertThis study aimed to explore the usefulness of measuring respiratory muscle activity in mechanically ventilated patients suffering from acute organophosphate poisoning, with a view towards providing complementary information ... -
Precuneus failures in subjects of the PSEN1 E280A family at risk of developing Alzheimer's disease detected using quantitative electroencephalography
Ochoa Gómez, John Fredy; Alonso López, Joan Francesc; Duque, Jon; Tobón, Carlos; Baena, A.; Lopera, Francisco; Mañanas Villanueva, Miguel Ángel; Hernández Valdivieso, Alher Mauricio (2017-07-01)
Article
Accés obertPresenilin-1 (PSEN1) mutations are the most common cause of familial early onset Alzheimer's disease (AD). The PSEN1 E280A (E280A) mutation has an autosomal dominant inheritance and is involved in the production of amyloid-ß. ... -
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 ... -
Prediction of isometric motor tasks and effort levels based on high-density EMG in patients with incomplete spinal cord injury
Jordanic, Mislav; Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Ángel; Alonso López, Joan Francesc (2016-05-17)
Article
Accés obertObjective. The development of modern assistive and rehabilitation devices requires reliable and easy-to-use methods to extract neural information for control of devices. Group-specific pattern recognition identifiers are ... -
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. -
Reduction of metallic interference in MEG signals using AMUSE
Migliorelli Falcone, Carolina Mercedes; Romero Lafuente, Sergio; Alonso López, Joan Francesc; Nowak, Rafal; Russi Tintoré, Antonio; Mañanas Villanueva, Miguel Ángel (2013)
Comunicació de congrés
Accés restringit per política de l'editorialMagnetoencephalography is a technique that can noninvasively measure the brain signal. There are many advantages of using this technique rather than similar procedures such as the EEG for the evaluation of medical diseases. ...