El Grup aplica tècniques d'enginyeria al camp mèdic per millorar els processos de rehabilitació i les teràpies clíniques. S'avaluen i monitoritzen mitjançant el processament de biosenyals multicanal (electromiogràfics, electroencefalogràfics, etc.) i l'anàlisi del sistema respiratori. Els algorismes es dissenyen eficientment per tal que les tècniques es puguin adaptar i aplicar a estudis respiratoris, neuromusculars i neurològics. Els objectius són:

1) Avaluació de l'activitat cerebral per ajudar al diagnòstic de malalties neurodegeneratives i a l'eficàcia del tractament ja sigui farmacològic o no.
2) Desenvolupar eines quantitatives per monitoritzar l'activitat muscular i fatigabilitat, així com estratègies de control del sistema nerviós central (SNC) per a l'activació muscular durant exercicis de rehabilitació.
3) Noves eines d'ajut al metge per a la ventilació assistida de malalts amb insuficiència respiratòria Aguda i monitorització de les malalties ventilatòries mitjançant músculs respiratoris.

Recent Submissions

  • Choosing strategies to deal with artifactual eeg data in children with cognitive impairment 

    Tost Abadías, Ana; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Medina Rivera, Inés; Romero Lafuente, Sergio; García Cazorla, Àngels; Mañanas Villanueva, Miguel Ángel (2021-08-11)
    Article
    Open Access
    Rett syndrome is a disease that involves acute cognitive impairment and, consequently, a complex and varied symptomatology. This study evaluates the EEG signals of twenty-nine patients and classify them according to 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 ...
  • 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 ...
  • The WOMEN-UP solution, a patient-centered innovative e-health tool for pelvic floor muscle training: qualitative and usability study during early-stage development 

    Angles, Sonia S.; López Frías, Lorena; Soler, Vicenç; Alonso López, Joan Francesc; Kastelein, Arnoud W.; de Graaf, Boris C.; Vodegel, Eva; Tervo, Jaana; Baban, Adriana; Espuña Pons, Montserrat (2021-07-23)
    Article
    Open Access
    e-Health may enhance self-management of pelvic floor muscle training (PFMT) to treat stress urinary incontinence (SUI). It is crucial to involve patients in planning, developing and monitoring the optimal e-Health solution. ...
  • 2D conventional and synthetic brain MRI in the assessment of multiple sclerosis 

    Aymerich Martínez, Francisco Javier; Auger, Cristina; Alonso, Juli; Barros, Andrea; Clarke, Margareta; Mora, Juan; Arrambide, Georgina; Corral, Juan Francisco; Sastre Garriga, Jaume; Rovira Cañellas, Alex (Sage, 2020-12)
    Article
    Open Access
  • Assessment of automatic decision-support systems for detecting active t2 lesions in multiple sclerosis patients 

    Corral, Juan Francisco; Alonso, Juli; Auger, Cristina; Valverde, Sergi; Vidal Jordana, Ángela; Oliver, Arnau; Barros, Andrea; Ng Wong, Karelis; Tintoré, Mar; Aymerich Martínez, Francisco Javier; Montalban, Xavier; Lladó, Xavier; Rovira Cañellas, Alex (Sage, 2020-12)
    Audiovisual
    Open Access
  • 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 ...
  • High-density surface electromyography maps after computer-aided training in individual with congenital transverse deficiency: a case study 

    Kisiel-Sajewicz, Katarzyna; Rojas Martínez, Mónica; Marusiak, Jaroslaw; Janecki, Damian; Chomiak, Slawomir; Kaminski, Lukasz; Mencel, Joanna; Mañanas Villanueva, Miguel Ángel; Jaskólski, Artur; Jaskólska, Anna (2020-12-01)
    Article
    Open Access
    Background: The aim of this study was to determine whether computer-aided training (CAT) of motor tasks would increase muscle activity and change its spatial distribution in a patient with a bilateral upper-limb congenital ...
  • Choosing strategies to deal with artifactual EEG data in children with cognitive impairment 

    Tost Abadías, Ana; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel; García Cazorla, Àngels (2020)
    Conference lecture
    Open Access
    Rett syndrome is a disease that involves acute cognitive impairment and, consequently, a complex and varied symptomatology. This study evaluates the EEG signals of twenty-nine patients in order to implement an effective ...
  • 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, 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 ...
  • 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, 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 ...
  • 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
    Open Access
    BACKGROUND: 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 ...

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