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.
Collections in this community
-
Articles de revista [65]
-
Audiovisual [1]
Recent Submissions
-
Serum neurofilament light chain levels predict long-term disability progression in patients with progressive multiple sclerosis
(2022-01-01)
Article
Open AccessObjective : There is a lack of sensitive and specific biomarkers for use in progressive multiple sclerosis (MS). The study aimed to assess the potential of serum neurofilament light chain (sNfL) levels as biomarker of ... -
Cognitive stimulation leads to a long-term brain activation with a spectral shift to higher frequencies in Rett syndrome patients
(Universidad de Valladolid, 2022)
Conference lecture
Open AccessRett syndrome (RTT) is the second leading cause of mental disability in women and causes a serious neurodevelopmental disorder that leads to a global disability of the individual. Cognitive training has been shown to improve ... -
Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design
(Institute of Physics (IOP), 2022-12)
Part of book or chapter of book
Restricted access - publisher's policyChapter 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. -
An accurate and real-time method for resolving superimposed action potentials in multiunit recordings
(2023-01)
Article
Restricted access - publisher's policyObjective : 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 ... -
Improving the quality of combined TMS-EEG neural recordings: artefact removal and time analysis
(Sociedad Española de Ingeniería Biomédica (SEIB), 2022)
Conference lecture
Open AccessTranscranial magnetic stimulation and electroencephalography (TMS-EEG) recordings are key to perform a direct evaluation of cortical function in a non-invasive and task-free manner. For the past few years, it has been used ... -
Assessment of 2D conventional and synthetic MRI in multiple sclerosis
(Springer Nature, 2022-01-01)
Article
Open AccessPurpose: To qualitatively and quantitatively compare synthetic and conventional MRI sequences acquired on a 1.5-T system for patients with multiple sclerosis (MS). Methods: Prospective study that involved twenty-seven ... -
Influence of the number of trials on evoked motor cortical activity in EEG recordings
(2022-08-26)
Article
Open AccessObjective. Improvements in electroencephalography enable the study of the localization of active brain regions during motor tasks. Movement-related cortical potentials (MRCPs), and event-related desynchronization (ERD) and ... -
Web applications for teaching the respiratory system: content validation
(Multidisciplinary Digital Publishing Institute, 2022-04-24)
Article
Open AccessThe subject of respiratory mechanics has complex characteristics, functions, and interactions that can be difficult to understand in training and medical education contexts. As such, education strategies based on computational ... -
Reliable and accurate information extraction from surface electromyographic signals
(Institute of Physics (IOP), 2020-08)
Part of book or chapter of book
Restricted access - publisher's policyThe 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. ... -
Detection of multiple innervation zones from multi-channel surface EMG recordings with low signal-to-noise ratio using graph-cut segmentation
(Public Library of Science (PLOS), 2016-12-15)
Article
Open AccessKnowledge 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 ... -
Kernel density estimation of electromyographic signals and ensemble learning for highly accurate classification of a large set of hand/wrist motions
(2022-03-09)
Article
Open AccessThe performance of myoelectric control highly depends on the features extracted from surface electromyographic (sEMG) signals. We propose three new sEMG features based on the kernel density estimation. The trimmed mean of ... -
Automatic classification between COVID-19 and Non-COVID-19 pneumonia using symptoms, comorbidities, and laboratory findings : the Khorshid COVID cohort study
(Frontiers Media SA, 2021-11-18)
Article
Open AccessCoronavirus 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 ...
RSS 1.0