Now showing items 1-20 of 39

    • A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions 

      Khademi, Sadaf; Neghabi, Mehrnoosh; Farahi, Morteza; Shirzadi, Mehdi; Marateb, Hamid Reza (Academic Press, 2022)
      Part of book or chapter of book
      Restricted access - publisher's policy
      Brain-computer interface (BCI) aims to translate human intention into a control output signal. In motor-imaginary (MI) BCI, the imagination of movement modifies the cortex brain activity. Such activities are then used in ...
    • A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) using optimized ensemble learning 

      Mohebian, Mohammad Reza; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Mokarian, Fariborz (Elsevier, 2016-12-06)
      Article
      Restricted access - publisher's policy
      Cancer is a collection of diseases that involves growing abnormal cells with the potential to invade or spread tothe body. Breast cancer is the second leading cause of cancer death among women. A method for 5-year breastcancer ...
    • A new force profile signal for a convex solution of muscle force estimation from electromyographic signals 

      Shirzadi, Mehdi; Mirshamsi, Arezoo; Esrefoglu, Alp; Rojas Martínez, Mónica Marlene; Marateb, Hamid Reza; Mañanas Villanueva, Miguel Ángel; Vieira, Taian Martins (2023)
      Conference report
      Open Access
      High-Density Surface Electromyography (HD-sEMG) is a non-invasive technique for measuring the electrical activity of a muscle with multiple, closely spaced electrodes. Estimation of muscle force is one of the applications ...
    • A novel spatial feature for the identification of motor tasks using high-density electromyography 

      Jordanic, Mislav; Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Ángel; Alonso López, Joan Francesc; Marateb, Hamid Reza (MDPI AG, 2017-07-08)
      Article
      Open Access
      Estimation of neuromuscular intention using electromyography (EMG) and pattern recognition is still an open problem. One of the reasons is that the pattern-recognition approach is greatly influenced by temporal changes in ...
    • A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean region: The Khorshid COVID Cohort (KCC) study 

      Samí, Ramin; Soltaninejad, Forogh; Amra, Babak; Naderi, Zohre; Javanmard, Shaghayegh Haghjooy; Iraj, Bijan; Ahmadi, Somayeh Haji; Shayganfar, Azin; Dehghan, Mehrnegar; Khademi, Nilufar; Hosseini, Nastaran Sadat; Mortazavi, Mojgan; Mansourian Gharakozlou, Marjan; Marateb, Hamid Reza; Mañanas Villanueva, Miguel Ángel; Adibi, Peyman (Public Library of Science (PLOS), 2020-11-05)
      Article
      Open Access
      The COVID-19 is rapidly scattering worldwide, and the number of cases in the Eastern Mediterranean Region is rising. Thus, there is a need for immediate targeted actions. We designed a longitudinal study in a hot outbreak ...
    • A real-time and convex model for the estimation of muscle force from surface electromyographic signals in the upper and lower limbs 

      Shirzadi, Mehdi; Marateb, Hamid Reza; Rojas Martínez, Mónica Marlene; Mansourian Gharakozlou, Marjan; Botter, Alberto; dos Anjos, Fabio Vieira; Vieira, Taian Martins; Mañanas Villanueva, Miguel Ángel (Frontiers Media SA, 2023-02)
      Article
      Open Access
      Low-volume lung injury encompasses local concentration of stresses in the vicinity of collapsed regions in heterogeneously ventilated lungs. We aimed to study the effects on ventilation and perfusion distributions of a ...
    • A real-time method for decoding the neural drive to muscles using single-channel intra-muscular EMG recordings 

      Karimimehr, Saeed; Marateb, Hamid Reza; Muceli, Silvia; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Farina, Dario (2017-09-01)
      Article
      Open Access
      The neural command from motor neurons to muscles — sometimes referred to as the neural drive to muscle — can be identified by decomposition of electromyographic (EMG) signals. This approach can be used for inferring the ...
    • Absolute mortality risk assessment of COVID-19 patients: the Khorshid COVID Cohort (KCC) study 

      Marateb, Hamid Reza; von Cube, Maja; Samí, Ramin; Javanmard, Shaghayegh Haghjooy; Mansourian Gharakozlou, Marjan; Amra, Babak; Soltaninejad, Forogh; Mortazavi, Mojgan; Adibi, Peyman; Khademi, Nilufar; Hosseini, Nastaran Sadat; Toghyani, Arash; Hassannejad, Razieh; Mañanas Villanueva, Miguel Ángel; Binder, Harald; Wolkewitz, Martin (2021-12-01)
      Article
      Open Access
      Background: Already at hospital admission, clinicians require simple tools to identify hospitalized COVID-19 patients at high risk of mortality. Such tools can significantly improve resource allocation and patient management ...
    • An accurate and real-time method for resolving superimposed action potentials in multiunit recordings 

      Shirzadi, Mehdi; Marateb, Hamid Reza; McGill, Kevin; Muceli, Silvia; Mañanas Villanueva, Miguel Ángel; Farina, Dario (2023-01)
      Article
      Open Access
      Objective : Spike sorting of muscular and neural recordings requires separating action potentials that overlap in time (superimposed action potentials (APs)). We propose a new algorithm for resolving superimposed action ...
    • Automatic classification between COVID-19 and Non-COVID-19 pneumonia using symptoms, comorbidities, and laboratory findings : the Khorshid COVID cohort study 

      Marateb, Hamid Reza; Nezhad, Farzad Ziaie; Mohebian, Mohammad Reza; Samí, Ramin; Javanmard, Shaghayegh Haghjooy; Dehghan Niri, Fatemeh; Akafzadeh Savari, Mahsa; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Wolkewitz, Martin; Binder, Harald (Frontiers Media SA, 2021-11-18)
      Article
      Open Access
      Coronavirus disease-2019, also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was a disaster in 2020. Accurate and early diagnosis of coronavirus disease-2019 (COVID-19) is still essential for health ...
    • Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study 

      Marateb, Hamid Reza; Tasdighi, Zahra; Mohebian, Mohammad Reza; Naghavi, Azam; Hess, Moritz; Motlagh, Mohammad Esmaeil; Heshmat, Ramin; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Binder, Harald; Kelishadi, Roya (Nature, 2021-12-01)
      Article
      Open Access
      Identifying the possible factors of psychiatric symptoms among children can reduce the risk of adverse psychosocial outcomes in adulthood. We designed a classification tool to examine the association between modifiable ...
    • Correspondence on “Electrocardiographic findings and prognostic values in patients hospitalised with COVID-19 in the World Heart Federation Global Study” by Pinto-Filho et al 

      Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel (2023-02-14)
      Article
      Open Access
      The manuscript by Martins Pinto-Filho et al., a multicentre study on the prognostic value of electrocardiographic findings, was evaluated. However, certain critical issues were highlighted. First, the authors didn't verify ...
    • Detection of multiple innervation zones from multi-channel surface EMG recordings with low signal-to-noise ratio using graph-cut segmentation 

      Marateb, Hamid Reza; Farahi, Morteza; Rojas Martínez, Mónica Marlene; Mañanas Villanueva, Miguel Ángel; Farina, Dario (Public Library of Science (PLOS), 2016-12-15)
      Article
      Open Access
      Knowledge of the location of muscle Innervation Zones (IZs) is important in many applications, e.g. for minimizing the quantity of injected botulinum toxin for the treatment of spasticity or for deciding on the type of ...
    • Developing non-laboratory cardiovascular risk assessment charts and validating laboratory and non-laboratory-based models 

      Hassannejad, Razieh; Mansourian Gharakozlou, Marjan; Marateb, Hamid Reza; Mohebian, Mohammad Reza; Gaziano, Thomas Andrew; Jackson, Rodney T.; Di Angelantonio, Emanuele; Sarrafzadegan, Nizal (Elsevier, 2021-09-02)
      Article
      Open Access
      Background: Developing simplified risk assessment model based on non-laboratory risk factors that could determine cardiovascular risk as accurately as laboratory-based one can be valuable, particularly in developing countries ...
    • Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals 

      Marateb, Hamid Reza; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Azimi, Tayebe; Nezhad, Farzad Ziaie; Mansourian Gharakozlou, Marjan; Alonso López, Joan Francesc; Aparicio, Javier; San Antonio Arce, María Victoria; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2020-09)
      Part of book or chapter of book
      Restricted access - publisher's policy
      In this chapter, we discuss how intracranial or scalp electroencephalographic and magnetoencephalographic recordings could be used for epileptic seizure prediction and onset zone localization. The signal processing methods ...
    • Fetal ECG extraction from maternal ECG using attention-based cycleGAN 

      Mohebbian, Mohammad Reza; Vedaei, Seyed Shahim; Wahid, Khan A.; Dinh, Anh; Marateb, Hamid Reza; Tavakolian, Kouhyar (Institute of Electrical and Electronics Engineers (IEEE), 2022-02)
      Article
      Open Access
      A non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from the maternal ECG (MECG) is a blind source separation problem, which is hard due to ...
    • Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications 

      Isfahani, Mohsen Kharazihai; Zekri, Maryam; Marateb, Hamid Reza; Mañanas Villanueva, Miguel Ángel (Public Library of Science (PLOS), 2019-01-01)
      Article
      Open Access
      Aim Fuzzy wavelet neural network (FWNN) has proven to be a promising strategy in the identification of nonlinear systems. The network considers both global and local properties, deals with imprecision present in sensory ...
    • Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021 

      Mclaughlin, S; Dalton, Benjamin; Haidar Ahmad, Dima; Ahmad, Shahid; Ahmadi, Abolfaz; Aljahdali, Hani Moaiteq; Andrei, C.O.; Al Badawi, Ahmad; Bagherieh, Sara; Bhaskar, Sonu; Cho, Wonjun; Chu, Dewei; Díaz Sánchez, Daniel; Feng, Xiaodong; Ben Hassen, M.; Heidari, Majid; Hossain, Md Abid; Hosseinzadeh, Mohammad Reza; Ben-Yehuda, Muli; Hussain, Syed Asad; Kilic, Mukremin; Iqbal Begum, Awais; Jain, Rahul; Joseph, Augustine; Kebede, S; Koyanagi, Ai; Kumar, Haresh; Kundu, Swarup; Larsson, A.; Lee, Wonyoung; Anchalee, Puengnim; Lopes, Gonçalo; Mahmoud, Malak Maher Fawzy; Cusmai, Adriel; Makris, K G; Malik Ara, Ibrar; Al Mamun, Abdullah; Martini, Séverine; Marzo Lafuente, Rafael; Mossialos, E; Mueller, Ute; Panagiotakos, Demosthenes; Patel, J M; Rahmani, Saman; Rashidi Meybodi, Mehdi; Riaz, Maryam; Salemsafi, Sanam; Sahebkar, Amirhossein; Salehi, Maryam; Salomón Arquedas, Juan Carlos; Sanabria, José A.; Schlaich, Mike; Singh, Parvesh; Soleimani, Hesam; Patan, Krzysztof; Tyrovolas, Stefanos; Vaziri, Sam; Verma, Manish; Bozhevolnyi, Sergey I; Moniruzzaman, Shaikh; Zare, Iman; Zoladl, Mohammad; Zou, ZhiXiang; Vos, Tanja; Marateb, Hamid Reza (2023-06)
      Article
      Open Access
      Background Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global ...
    • Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021 

      Barrero, Luís; Ferreira Soares Borges Lopes, Nuno Filipe; Ben Hassen, M.; Heidari, Majid; Malik Ara, Ibrar; Neupane, Shova; Pawar, Suwil D.; Sahebkar, Amirhossein; Shahabi, Shahriar; Zare, Iman; Vos, Tanja; Marateb, Hamid Reza (Elsevier, 2023-11)
      Article
      Open Access
      Background Musculoskeletal disorders include more than 150 different conditions affecting joints, muscles, bones, ligaments, tendons, and the spine. To capture all health loss from death and disability due to musculoskeletal ...
    • High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans 

      Rojas Martínez, Mónica; Serna Higuita, Leidy Yanet; Jordanic, Mislav; Marateb, Hamid Reza; Merletti, R.; Mañanas Villanueva, Miguel Ángel (Nature, 2020-12)
      Article
      Open Access
      This paper presents a dataset of high-density surface EMG signals (HD-sEMG) designed to study patterns of sEMG spatial distribution over upper limb muscles during voluntary isometric contractions. Twelve healthy subjects ...