BIOART - BIOsignal Analysis for Rehabilitation and Therapy
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.
Col·leccions
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Articles de revista [79]
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Audiovisual [1]
Enviaments recents
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Relation between task-related activity modulation and cortical inhibitory function in schizophrenia and healthy controls: a TMS–EEG study
(2024-01-19)
Article
Accés obertSchizophrenia 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 ... -
Predicting COVID-19 hospital stays with Kolmogorov-Gabor polynomials: charting the future of care
(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 ... -
Target trial emulation using hospital-based observational data: demonstration and application in COVID-19
(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
(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
(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 ... -
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
(2023-02-14)
Article
Accés obertThe 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 ... -
An integrated mathematical model of the cardiovascular and respiratory response to exercise: Model-building and comparison with reported models
(2021-04-01)
Article
Accés obertThe use of physiological models in medicine allows the evaluation of new hypotheses, development of diagnosis and clinical treatment applications, and development of training and medical education tools, as well as medical ... -
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
(2023-06)
Article
Accés obertBackground 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 ... -
Rigorous performance assessment of the algorithms for resolving motor unit action potential superpositions
(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 ... -
The kappa opioid receptor and the sleep of reason: cortico-subcortical Imbalance following Salvinorin-A
(Oxford University Press, 2022-01-12)
Article
Accés obertBackground: 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 ... -
Developing non-laboratory cardiovascular risk assessment charts and validating laboratory and non-laboratory-based models
(Elsevier, 2021-09-02)
Article
Accés obertBackground: 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 ... -
Fetal ECG extraction from maternal ECG using attention-based cycleGAN
(Institute of Electrical and Electronics Engineers (IEEE), 2022-02)
Article
Accés obertA 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 ...