Browsing by Author "Mañanas Villanueva, Miguel Ángel"
Now showing items 1-20 of 109
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A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
(ELSEVIER, 2008-03)
Article
Open AccessEye movement artifacts represent a critical issue for quantitative electroencephalography (EEG) analysis and a number of mathematical approaches have been proposed to reduce their contribution in EEG recordings. The aim ... -
A cross-sectional study comparing strength profile of dorsal and palmar flexor muscles of the wrist in epicondylitis and healthy men
(2013-08)
Article
Open AccessBackground: Strength training has been proposed by several authors to treat Lateral Epicondylitis. However, there is still a lack of information concerning muscle weakness and its relationship to imbalances and fatigability ... -
A dynamic fitting strategy for physiological models: a case study of a cardiorespiratory model for the simulation of incremental aerobic exercise
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-04-11)
Article
Open AccessUsing mathematical models of physiological systems in medicine has allowed for the development of diagnostic, treatment, and medical educational tools. However, their complexity restricts, in most cases, their application ... -
A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) using optimized ensemble learning
(Elsevier, 2016-12-06)
Article
Restricted access - publisher's policyCancer 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
(2023)
Conference report
Open AccessHigh-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
(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 ... -
A novel strategy to fit and validate physiological models: a case study of acardiorespiratory model for simulation of incremental aerobic exercise
(2023-03-01)
Article
Open AccessApplying complex mathematical models of physiological systems is challenging due to the large number of parameters. Identifying these parameters through experimentation is difficult, and although procedures for fitting and ... -
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 ... -
A real-time and convex model for the estimation of muscle force from surface electromyographic signals in the upper and lower limbs
(Frontiers Media SA, 2023-02)
Article
Open AccessLow-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
(2017-09-01)
Article
Open AccessThe 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 ... -
A synchronization system for the analysis of biomedical signals recorded with different devices from mechanically ventilated patients
(Institute of Electrical and Electronics Engineers (IEEE), 2012)
Conference lecture
Restricted access - publisher's policyConducting research associated with mechanically ventilated patients often requires the recording of several biomedical signals to dispose of multiple sources of information to perform a robust analysis. This is especially ... -
Absolute mortality risk assessment of COVID-19 patients: the Khorshid COVID Cohort (KCC) study
(2021-12-01)
Article
Open AccessBackground: 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 ... -
Acoustic analysis of snoring sound in patients with simple snoring and obstructive sleep apnoea
(1996-11-09)
Article
Open AccessSnoring, a symptom which may indicate the presence of the obstructive sleep apnoea syndrome (OSA), is also common in the general population. Recent studies have suggested that the acoustic characteristics of snoring sound ... -
Acute sleep deprivation induces a local brain transfer information increase in the frontal cortex in a widespread decrease context
(2016-04-01)
Article
Open AccessSleep deprivation (SD) has adverse effects on mental and physical health, affecting the cognitive abilities and emotional states. Specifically, cognitive functions and alertness are known to decrease after SD. The aim of ... -
Alterations in EEG connectivity in healthy young adults provide an indicator of sleep depth
(2019-06-11)
Article
Open AccessCurrent sleep analyses have used electroencephalography (EEG) to establish sleep intensity through linear and nonlinear measures. Slow wave activity (SWA) and entropy are the most commonly used markers of sleep depth. The ... -
AML-DECODER: advanced machine learning for HD-sEMG signal classification—decoding lateral epicondylitis in forearm muscles
(2024-10-10)
Article
Open AccessBackground: Innovative algorithms for wearable devices and garments are critical for diagnosing and monitoring disease (such as lateral epicondylitis (LE)) progression. LE affects individuals across various professions and ... -
An accurate and real-time method for resolving superimposed action potentials in multiunit recordings
(2023-01)
Article
Open AccessObjective : 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 ... -
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 ... -
An integrated mathematical model of the cardiovascular and respiratory response to exercise: Model-building and comparison with reported models
(2021-04-01)
Article
Open AccessThe 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 ... -
Analysis of muscle load-sharing in patients with lateral epicondylitis during endurance isokinetic contractions using non-linear prediction
(2019-09-24)
Article
Open AccessThe aim of this paper is to analyze muscle load-sharing in patients with Lateral Epicondylitis during dynamic endurance contractions by means of non-linear prediction of surface EMG signals. The proposed non-linear ...
