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High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans
(Nature, 2020-12)
Article
Open AccessThis 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
(2020-12-01)
Article
Open AccessBackground: 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 ... -
A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean region: The Khorshid COVID Cohort (KCC) study
(Public Library of Science (PLOS), 2020-11-05)
Article
Open AccessThe 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
(2020-09-05)
Article
Open AccessBACKGROUND: 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 ... -
SGM: a novel time-frequency algorithm based on unsupervised learning improves high-frequency oscillation detection in epilepsy
(2020-04-22)
Article
Open AccessObjective. 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 ... -
A fuzzy approach for feature extraction of brain tissues in Non-Contrast CT
(Sociedad Mexicana de Ingeniería Biomedíca, 2018-01-15)
Article
Open AccessIn neuroimaging, brain tissue segmentation is a fundamental part of the techniques that seek to automate the detection of pathologies, the quantification of tissues or the evaluation of the progress of a treatment. Because ... -
An improved dynamic model for the respiratory response to exercise
(2018-02-07)
Article
Open AccessRespiratory system modeling has been extensively studied in steady-state conditions to simulate sleep disorders, to predict its behavior under ventilatory diseases or stimuli and to simulate its interaction with mechanical ... -
PARS risk charts: A 10-year study of risk assessment for cardiovascular diseases in Eastern Mediterranean Region
(2017-12-19)
Article
Open AccessThis study was designed to develop a risk assessment chart for the clinical management and prevention of the risk of cardiovascular disease (CVD) in Iranian population, which is vital for developing national prevention ... -
Precuneus failures in subjects of the PSEN1 E280A family at risk of developing Alzheimer's disease detected using quantitative electroencephalography
(2017-07-01)
Article
Open AccessPresenilin-1 (PSEN1) mutations are the most common cause of familial early onset Alzheimer's disease (AD). The PSEN1 E280A (E280A) mutation has an autosomal dominant inheritance and is involved in the production of amyloid-ß. ... -
Identificación de tareas isométricas y dinámicas del miembro superior basada en EMG de alta densidad
(Elsevier, 2017-10-01)
Article
Open AccessLa identificación de tareas y estimación del movimiento voluntario basados en electromiografía (EMG) constituyen un problema conocido que involucra diferentes áreas en sistemas expertos, particularmente la de reconocimiento ... -
A novel spatial feature for the identification of motor tasks using high-density electromyography
(MDPI AG, 2017-07-08)
Article
Open AccessEstimation 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 ... -
Leak localization in water distribution networks using Bayesian classifiers
(2017-07-01)
Article
Open AccessThis paper presents a method for leak localization in water distribution networks (WDNs) based on Bayesian classifiers. Probability density functions for pressure residuals are calibrated off-line for all the possible leak ...