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    • 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)
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      Magnetoencephalography 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. ...

    • Relation between task-related activity modulation and cortical inhibitory function in schizophrenia and healthy controls: a TMS–EEG study 

      Fernández Linsenbarth, Inés; Mijancos Martínez, Gema; Bachiller Matarranz, Alejandro; Núñez, Pablo; Rodríguez González, Víctor; Beño Ruiz de la Sierra, Rosa María; Roig Herrero, Alejandro; Arjona Valladares, Antonio; Poza Crespo, Jesús; Mañanas Villanueva, Miguel Ángel; Molina Rodriguez, Vicente (2024-01-19)
      Article
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      Schizophrenia has been associated with a reduced task-related modulation of cortical activity assessed through electroencephalography (EEG). However, to the best of our knowledge, no study so far has assessed the underpinnings ...

    • 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)
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      The 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)
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      The 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
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      It 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)
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      High 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 ...

    • Serotonergic psychedelics temporarily modify information transfer in humans 

      Alonso López, Joan Francesc; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel; Riba Serrano, Jordi (2015-06-01)
      Article
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      Background: Psychedelics induce intense modifications in the sensorium, the sense of "self," and the experience of reality. Despite advances in our understanding of the molecular and cellular level mechanisms of these ...

    • SGM: a novel time-frequency algorithm based on unsupervised learning improves high-frequency oscillation detection in epilepsy 

      Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Alonso López, Joan Francesc; Romero Lafuente, Sergio; Aparicio, Javier; Jacobs-Le Van, Julia; Mañanas Villanueva, Miguel Ángel; San Antonio-Arce, Victoria (2020-04-22)
      Article
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      Objective. We propose a novel automated method called the S-Transform Gaussian Mixture detection algorithm (SGM) to detect high-frequency oscillations (HFO) combining the strengths of different families of previously ...

    • Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury 

      Jordanic, Mislav; Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Ángel; Alonso López, Joan Francesc (2016-04-29)
      Article
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      Background: Recent studies show that spatial distribution of High Density surface EMG maps (HD-EMG) improves the identification of tasks and their corresponding contraction levels. However, in patients with incomplete ...

    • Stress assessment based on EEG univariate features and functional connectivity measures 

      Alonso López, Joan Francesc; Romero Lafuente, Sergio; Ballester Verneda, Maria Rosa; Antonijoan Arbós, Rosa Maria; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2015-05-27)
      Article
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      The biological response to stress originates in the brain but involves different biochemical and physiological effects. Many common clinical methods to assess stress are based on the presence of specific hormones and on ...

    • Successful object encoding induces increased directed connectivity in presymptomatic early-onset Alzheimer's disease 

      Ochoa Gómez, John Fredy; Alonso López, Joan Francesc; Duque, Jon; Tobón, Carlos; Mañanas Villanueva, Miguel Ángel; Lopera, Francisco; Hernández Valdivieso, Alher Mauricio (2017-01-01)
      Article
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      Background: Recent studies report increases in neural activity in brain regions critical to episodic memory at preclinical stages of Alzheimer’s disease (AD). Although electroencephalography (EEG) is widely used in AD ...

    • 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)
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      Industry 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 ...

    • The kappa opioid receptor and the sleep of reason: cortico-subcortical Imbalance following Salvinorin-A 

      Ona, Genis; Sampedro, Frederic; Romero Lafuente, Sergio; Valle, Marta; Camacho, Valle; Migliorelli Falcone, Carolina Mercedes; Mañanas Villanueva, Miguel Ángel; Antonijoan Arbós, Rosa Maria; Puntes, Montserrat; Coimbra, Jimena; Ballester Verneda, Maria Rosa; Garrido, Maite; Riba Serrano, Jordi (Oxford University Press, 2022-01-12)
      Article
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      Background: The mechanisms through which kappa opioid receptor (KOR) agonists induce psychotomimetic effects are largely unknown, although the modulation of this receptor has attracted attention for its clinical use. In ...

    • Topography of activation deficits in schizophrenia during P300 task related to cognition and structural connectivity 

      Molina Rodriguez, Vicente; Bachiller Matarranz, Alejandro; Luis García, Rodrigo de; Lubeiro Juárez, Alba; Poza Crespo, Jesús; Hornero Sánchez, Roberto; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Marques, Patricia; Romero Lafuente, Sergio (2018-02-02)
      Article
      Accés obert
      Background The study of cerebral underpinnings of schizophrenia may benefit from the high temporal resolution of electromagnetic techniques, but its spatial resolution is low. However, source imaging approaches such as ...

    • Towards the application of HD-EMG decomposition in clinical practice 

      Mañanas Villanueva, Miguel Ángel; Rojas Martínez, Mónica; Alonso López, Joan Francesc (2016-06)
      Article
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      The electromyography (EMG) signal is the summation of traveling motor unit (MU) action potentials that propagate along the fibers from the neuromuscular junction (Innervation Zone, IZ) to the tendons with a certain conduction ...

    • Use of frequency feature of HD-EMG in identification of upper-limb motor tasks 

      Jordanic, Mislav; Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Ángel; Alonso López, Joan Francesc (Asociación Nicolo, 2017)
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    • Virtual laboratory for simulation and learning of cardiovascular system function in BME studies 

      Hernández Valdivieso, Alher Mauricio; Salazar Sánchez, Maria Bernarda; Urrego Higuita, David Alexander; Costa Castelló, Ramon; Mañanas Villanueva, Miguel Ángel (2011-09)
      Article
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      The application of engineering system analysis is a very important field in biomedical engineering (BME) studies: modeling, simulation and control of the most important physiological systems. A virtual laboratory for ...