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1 to 36 of 36 results
  • Reduction of metallic interference in MEG signals using AMUSE

     Migliorelli Falcone, Carolina Mercedes; Romero Lafuente, Sergio; Alonso López, Joan Francesc; Nowak, Rafal; Russi Tintoré, Antonio; Mañanas Villanueva, Miguel Angel
    IEEE Engineering in Medicine and Biology Society
    Presentation's date: 2013-07
    Presentation of work at congresses

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    Magnetoencephalography is a technique that can noninvasively measure the brain signal. There are many advantages of using this technique rather than similar procedures such as the EEG for the evaluation of medical diseases. However, one of its main problems is its high sensitivity to sources causing metallic distortion of the signal, and the removal of this type of artifacts remains unsolved. In this study a technique for reducing metallic interference was presented. This algorithm was based on AMUSE, a second order blind source separation method, and a procedure for choosing the artifactual independent components was also presented. The results showed that the elimination of these artifacts would be possible by means of the application of this AMUSE-based interference reduction procedure

    Magnetoencephalography is a technique that can noninvasively measure the brain signal. There are many advantages of using this technique rather than similar procedures such as the EEG for the evaluation of medical diseases. However, one of its main problems is its high sensitivity to sources causing metallic distortion of the signal, and the removal of this type of artifacts remains unsolved. In this study a technique for reducing metallic interference was presented. This algorithm was based on AMUSE, a second order blind source separation method, and a procedure for choosing the artifactual independent components was also presented. The results showed that the elimination of these artifacts would be possible by means of the application of this AMUSE-based interference reduction procedure

  • Analysis of muscle coupling during isokinetic endurance contractions by means of nonlinear prediction

     Rojas Martínez, Mónica; Alonso López, Joan Francesc; Chaler Vilaseca, Joaquim Lluís; Mañanas Villanueva, Miguel Angel
    IEEE Engineering in Medicine and Biology Society
    Presentation's date: 2013-07
    Presentation of work at congresses

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    Isokinetic exercises have been extensively used in order to analyze muscle imbalances and changes associated with fatigue. It is known that such changes are difficult to assess from EMG signals during dynamic contractions, especially, using linear signal processing tools. The aim of this work was to use nonlinear prediction in order to analyze muscle couplings and interactions in this context and to assess the load-sharing of different muscles during fatigue. Results show promising for detecting interaction strategies between muscles and even for the interaction between muscles and the output torque during endurance tests.

  • Identification of isometric contractions based on High Density EMG maps

     Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Angel; Alonso López, Joan Francesc; Merletti, R.
    Journal of electromyography and kinesiology
    Date of publication: 2012-07
    Journal article

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    Identification of motion intention and muscle activation strategy is necessary to control human–machine interfaces like prostheses or orthoses, as well as other rehabilitation devices, games and computer-based training programs. Pattern recognition from sEMG signals has been extensively investigated in the last decades, however, most of the studies did not take into account different strengths and EMG distributions associated to the intended task. The identification of such quantities could be beneficial for the training of the subject or the control of assistive devices. Recent studies have shown the need to improve patternrecognition classification by reducing sensitivity to changes in the exerted strength, muscle-electrode shifts and bad contacts. Surface High Density EMG (HD-EMG) obtained from 2-dimensional arrays can provide much more information than electrode pairs for inferring not only motion intention but also the strategy adopted to distribute the load between muscles as well as changes in the spatial distribution of motor unit action potentials within a single muscle because of it. The objectives of this study were: (a) the automatic identification of four isometric motor tasks associated with the degrees of freedom of the forearm: flexion–extension and supination–pronation and (b) the differentiation among levels of voluntary contraction at low-medium efforts. For this purpose, monopolar HD-EMG maps were obtained from five muscles of the upper-limb in healthy subjects. An original classifier is proposed, based on: (1) Two steps linear discriminant analysis of the EMG information for each type of contraction, and (2) features extracted from HD-EMG maps and related to its intensity and distribution in the 2D space. The classifier was trained and tested with different effort levels. Spatial distribution-based features by themselves are not sufficient to classify the type of task or the effort level with an acceptable accuracy; however, when calculated with the ‘‘isolated masses’’ method proposed in this study and combined with intensity-base features, the performance of the classifier is improved. The classifier is capable of identifying the tasks even at 10% of Maximum Voluntary Contraction, in the range of effort level developed by patients with neuromuscular disorders, showing that intention end effort of motion can be estimated from HD-EMG maps and applied in rehabilitation.

  • High-density surface EMG maps from upper-arm and forearm muscles

     Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Angel; Alonso López, Joan Francesc
    Journal of neuroengineering and rehabilitation
    Date of publication: 2012-12
    Journal article

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    sEMG signal has been widely used in different applications in kinesiology and rehabilitation as well as in the control of human-machine interfaces. In general, the signals are recorded with bipolar electrodes located in different muscles. However, such configuration may disregard some aspects of the spatial distribution of the potentials like location of innervation zones and the manifestation of inhomogineties in the control of the muscular fibers. On the other hand, the spatial distribution of motor unit action potentials has recently been assessed with activation maps obtained from High Density EMG signals (HD-EMG), these lasts recorded with arrays of closely spaced electrodes. The main objective of this work is to analyze patterns in the activation maps, associating them with four movement directions at the elbow joint and with different strengths of those tasks. Although the activation pattern can be assessed with bipolar electrodes, HD-EMG maps could enable the extraction of features that depend on the spatial distribution of the potentials and on the load-sharing between muscles, in order to have a better differentiation between tasks and effort levels.

  • Cross-conditional entropy and coherence analysis of pharmaco-EEG changes induced by alprazolam

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Rojas Martínez, Mónica; Riba Serrano, Jordi
    Psychopharmacology
    Date of publication: 2012-03
    Journal article

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    Rationale Quantitative analysis of electroencephalographic signals (EEG) and their interpretation constitute a helpful tool in the assessment of the bioavailability of psychoactive drugs in the brain. Furthermore, psychotropic drug groups have typical signatures which relate biochemical mechanisms with specific EEG changes. Objectives To analyze the pharmacological effect of a dose of alprazolam on the connectivity of the brain during wakefulness by means of linear and nonlinear approaches. Methods EEG signals were recorded after alprazolam administration in a placebo-controlled crossover clinical trial. Nonlinear couplings assessed by means of corrected cross-conditional entropy were compared to linear couplings measured with the classical magnitude squared coherence. Results Linear variables evidenced a statistically significant drug-induced decrease, whereas nonlinear variables showed significant increases. All changes were highly correlated to drug plasma concentrations. The spatial distribution of the observed connectivity changes clearly differed from a previous study: changes before and after the maximum drug effect were mainly observed over the anterior half of the scalp. Additionally, a new variable with very low computational cost was defined to evaluate nonlinear coupling. This is particularly interesting when all pairs of EEG channels are assessed as in this study. Conclusions Results showed that alprazolam induced changes in terms of uncoupling between regions of the scalp, with opposite trends depending on the variables: decrease in linear ones and increase in nonlinear features. Maps provided consistent information about the way brain changed in terms of connectivity being definitely necessary to evaluate separately linear and nonlinear interactions.

  • Evaluation of Neuromuscular Function on the forearm during isometric contractions by Multichannel Surface Electromyography

     Rojas Martínez, Mónica; Garcia, M.; Alonso López, Joan Francesc; Marín Sánchez, Jesús; Mañanas Villanueva, Miguel Angel
    Revista iberoamericana de automática e informática industrial
    Date of publication: 2011-04-08
    Journal article

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  • Coordination of respiratory muscles assessed by means of nonlinear forecasting of demodulated myographic signals

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Rojas Martínez, Mónica; Bruce, E.N.
    Journal of electromyography and kinesiology
    Date of publication: 2011-12
    Journal article

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  • MEG Connectivity Analysis in Patients with Alzheimer¿s Disease Using Cross Mutual Information and Spectral Coherence

     Alonso López, Joan Francesc; Poza Crespo, Jesús; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Fernández Lucas, Alberto; Hornero Sánchez, Roberto
    Annals of biomedical engineering
    Date of publication: 2011-01
    Journal article

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  • Interacción en sistemas biológicos mediante nuevos índices basados en la dinámica no lineal  Open access  awarded activity

     Alonso López, Joan Francesc
    Defense's date: 2011-09-29
    Department of Automatic Control, Universitat Politècnica de Catalunya
    Theses

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    Most biological systems are complex and consist of several interconnected parts whose links can contain additional information which can be hidden from the observer. As a result of the interactions between elements, emergent properties that cannot be explained by the characteristics of isolated elements can arise. Current clinical applications record a high number of different signals that contain information about these physiological systems, providing multichannel data whose interactions can be studied by classical reference methods, generally linear, as the correlation analysis and spectral coherence, and other nonlinear methods that are being defined and developed during recent years, such as nonlinear prediction, entropies, mutual information and phase synchronization. The development, improvement and application of new analytical techniques is a field with obvious social and technological interest, especially when performed by noninvasive techniques, which can improve the processes of rehabilitation and clinical therapy, and also help the development of new diagnostic tools. In this thesis new indexes have been defined in order to evaluate: * The coordination of respiratory muscles in healthy subjects and patients with obstructive sleep apnea syndrome (OSAS) during an effort ventilatory protocol. * The effect on functional connectivity of the brain after administration of a psychoactive drug. * The changes caused by Alzheimer's disease (AD) in the connectivity of the brain. Respiratory muscles provide the mechanical energy that supports respiration. The evaluation of interactions between electromyographic (EMG) and mechanomiographic (MMG) signals of different respiratory muscles, genioglossus, sternomastoid and diaphragm, has allowed the discrimination of coordination patterns of OSAS patients with respect to healthy subjects at low, medium and high respiratory effort during while awake. Analysis and characterization of the electroencephalographic (EEG) and magnetoencephalographic (MEG) signals allows the understanding of brain function to assist in the process of clinical diagnosis of disorders in neurology, psychiatry and pharmacology. In this thesis the interactions within and between different brain regions have been assessed, using new nonlinear indexes which have managed to reflect changes over time in the brain after administration of alprazolam, and to characterize andto differentiate brain connectivity of AD patients with respect to healthy subjects.

    La mayoría de sistemas biológicos son sistemas complejos que constan de diversas partes interconectadas cuyos vínculos pueden contener información adicional y oculta al observador. Como resultado de estas interacciones entre elementos surgen propiedades emergentes, que no pueden explicarse a partir de las características de los elementos aislados. Las aplicaciones clínicas actuales registran un elevado número de señales diferentes que contienen información sobre estos sistemas fisiológicos, cosa que permite disponer de datos multicanal, cuyas interacciones pueden ser estudiadas mediante métodos clásicos de referencia generalmente lineales, como el análisis de correlación y la coherencia espectral, u otros métodos no lineales que están siendo definidos y desarrollados durante los últimos años, como la predicción no lineal, las entropías, la información mutua o la sincronización de fase. El desarrollo, mejora y aplicación de nuevas técnicas de análisis constituye un campo con evidente interés social y tecnológico, en especial cuando se realiza mediante técnicas no invasivas, que puede proporcionar mejoras en los procesos de rehabilitación y terapia clínica, así como contribuir a desarrollar herramientas de ayuda al diagnóstico. En esta tesis se han definido nuevos índices no lineales que han permitido evaluar: * La coordinación de los músculos respiratorios en sujetos sanos y pacientes con síndrome de apnea obstructiva del sueño (SAOS) durante un protocolo ventilatorio de esfuerzo. * El efecto en la conectividad funcional del cerebro tras la administración de un fármaco psicoactivo. * Los cambios provocados por la enfermedad de Alzheimer (EA) en la conectividad del cerebro. La musculatura respiratoria proporciona la energía mecánica que soporta la respiración. La evaluación de las interacciones entre señales electromiográficas (EMG) y mecanomiográficas (MMG) de diferentes músculos respiratorios -geniogloso, esternocleidomastoideo y diafragma- ha permitido diferenciar el patrón de coordinación de los pacientes con SAOS de los sujetos sanos a niveles bajos, medios y altos de esfuerzo respiratorio durante vigilia. El análisis y caracterización de las señales electroencefalográficas (EEG) y magnetoencefalográficas (MEG) permite la comprensión de la función cerebral para ayudar en el proceso de diagnóstico clínico de disfunciones en neurología, psiquiatría y farmacología. En esta tesis se han evaluado las interacciones en y entre diferentes regiones cerebrales mediante nuevos índices no lineales que han conseguido reflejar los cambios producidos a lo largo del tiempo en el cerebro tras la administración del fármaco alprazolam, así como caracterizar y diferenciar la conectividad cerebral de los pacientes con EA con respecto a sujetos sanos. Las herramientas utilizadas en las aplicaciones mencionadas se basan en las siguientes técnicas de análisis no lineal: * La función de información mutua cruzada, el equivalente no lineal de la función de correlación cruzada, que cuantifica la información compartida entre dos variables aleatorias. * La entropía condicional corregida cruzada, una medida que cuantifica la información restante contenida en una variable aleatoria cuando se conoce totalmente otra variable relacionada, y por lo tanto es una medida complementaria de la información mutua. * La predicción no lineal basada en modelos localmente lineales, una herramienta matemática que permite deducir la evolución de una serie temporal en función de muestras anteriores. Los nuevos índices desarrollados han demostrado la necesidad de evaluar las interacciones en los sistemas biológicos y fisiológicos tanto con métodos lineales como no lineales, para obtener una evaluación más completa de la dinámica subyacente y ayudar en los procesos de diagnóstico de patologías y en el procedimiento de evaluación psicofarmacológica.

  • Drug effect on EEG connectivity assessed by linear and nonlinear couplings

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Hoyer, Dirk; Riba, Jordi; Barbanoj Rodriguez, Manel J.
    Human brain mapping
    Date of publication: 2010-03
    Journal article

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    Quantitative analysis of human electroencephalogram (EEG) is a valuable method for evaluating psychopharmacological agents. Although the effects of different drug classes on EEG spectra are already known, interactions between brain locations remain unclear. In this work, cross mutual information function and appropriate surrogate data were applied to assess linear and nonlinear couplings between EEG signals. The main goal was to evaluate the pharmacological effects of alprazolam on brain connectivity during wakefulness in healthy volunteers using a cross-over, placebo-controlled design. Eighty-five pairs of EEG leads were selected for the analysis, and connectivity was evaluated inside anterior, central, and posterior zones of the scalp. Connectivity between these zones and interhemispheric connectivity were also measured. Results showed that alprazolam induced significant changes in EEG connectivity in terms of information transfer in comparison with placebo. Trends were opposite depending on the statistical characteristics: decreases in linear connectivity and increases in nonlinear couplings. These effects were generally spread over the entire scalp. Linear changes were negatively correlated, and nonlinear changes were positively correlated with drug plasma concentrations; the latter showed higher correlation coefficients. The use of both linear and nonlinear approaches revealed the importance of assessing changes in EEG connectivity as this can provide interesting information about psychopharmacological effects.

  • Benzodiazepine effects on EEG connectivity: linear and nonlinear couplings

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Hoyer, Dirk; Riba, J; Barbanoj Rodriguez, Manel J.
    Biennal Congress of the International Pharmaco-EEG Society
    Presentation's date: 2010-10
    Presentation of work at congresses

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  • Sleep apnoea-hypopnea screening by snoring analysis using a single-channel device

     Jane Campos, Raimon; Fiz, José Antonio; Rigau, Jordi; Alonso López, Joan Francesc; Sopena, Francisco; Sola Soler, Jordi; Vilasseca, Isabel; Abad, Jorge; Montserrat, Josep Maria; Morera, Josep
    European Respiratory Society Annual Congress
    Presentation's date: 2010-09
    Presentation of work at congresses

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  • Filtrado ocular de señales EEG en el análisis de fármacos mediante topografía y tomografía cerebral

     Romero Lafuente, Sergio; Alonso López, Joan Francesc; Rojas Martínez, Mónica; Barbanoj Rodriguez, Manel J.; Mañanas Villanueva, Miguel Angel
    Simposio de Bioingeniería (Redes REDINBIO y RETADIM)
    Presentation's date: 2010-06
    Presentation of work at congresses

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  • ANALISIS DE LAS INTERACCIONES DINAMICAS EN BIOSEÑALES NO INVASIVAS MULTICANAL

     Alonso López, Joan Francesc; Marín Sánchez, Jesús; Romero Lafuente, Sergio; Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Angel
    Participation in a competitive project

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  • Biofeedback per entrenament del sòl pèlvic en malalts amb incontinència urinària

     Mañanas Villanueva, Miguel Angel; Alonso López, Joan Francesc; Caminal Magrans, Pedro; Fernandez Chimeno, Mireya; Garcia Gonzalez, Miquel Angel; Ramos Castro, Juan Jose; Rojas Martínez, Mónica; Romero Lafuente, Sergio
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  • Aplicación de la entropía condicional para el análisis del EEG bajo terapia farmacológica

     Alonso López, Joan Francesc; Martínez Vera, Naira Pilar; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Barbanoj Rodriguez, Manel J.
    Jornadas de Automática
    Presentation's date: 2009-09
    Presentation of work at congresses

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    El análisis del electroencefalograma humano constituye una herramienta muy útil para la evaluación de la biodisponibilidad de un fármaco en el cerebro. Se ha aplicado el calculo de entropía condicional a señales electroencefalográficas para la evaluación del acoplamiento cerebral tras la administración de un fármaco. El principal objetivo fue analizar el efecto farmacológico de una dosis de alprazolam en el cerebro durante vigilia. Los resultados preliminares que se presentan en este trabajo muestran diferencias estadísticamente significativas entre los estados correspondientes a placebo y fármaco. Las variables no lineales mostraron una buena correlación con la evolución temporal de efectos esperados.

  • R+D d'un sistema de neurorehabilitació de l'extremitat superior

     Mañanas Villanueva, Miguel Angel; Alonso López, Joan Francesc; Caminal Magrans, Pedro; Rojas Martínez, Mónica; Romero Lafuente, Sergio
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  • Análisis de la función neuro-muscular en extremidades inferiores para el desarrollo de sistemas ortoprotésicos y la monitorización del proceso de rehabilitación de personas con lesión medular y discapacidad de la marcha

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Rojas Martínez, Mónica; Torres Cebrian, Abel; Vidal Samso, Joan
    Participation in a competitive project

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  • Análisis del acoplamiento cerebral en sujetos sometidos a terapia farmacológica

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Romero, S Hoyer D; Topor, Z L; Bruce, E N
    Congreso Anual de la Sociedad Española de Ingeniería Biomédica
    Presentation's date: 2007-11-14
    Presentation of work at congresses

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  • Connectivity analysis of EEG under drug theraphy

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Riba, J; Barbanoj, M J; Hoyer, D
    IEEE Engineering in Medicine and Biology Society
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  • Análisis de la conectividad cerebral en sujetos análisis de la conectividad cerebral en sujetos sometidos a terapia farmacológica

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Jordi, Riba; Barbanoj, Manel; Hoyer, Dirk
    Congreso Anual de la Sociedad Española de Ingeniería Biomédica
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  • Connectivity analysis of EEG under drug therapy

     Alonso López, Joan Francesc
    IEEE Engineering in Medicine and Biology Society
    Presentation's date: 2007-08-23
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  • Evaluation of Respiratory Muscles Activity by means of Cross Mutual Information Function at Different Levels of Ventilatory Effort

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Hoyer, D; Topor, Z L; Bruce, E N
    IEEE transactions on biomedical engineering
    Date of publication: 2007-09
    Journal article

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  • Evaluation of nonlinear prediction methods in demodulated EMG signals from respiratory muscles

     Alonso López, Joan Francesc
    XVI Congress of the International Society of Electrophysiology and Kinesiology
    Presentation's date: 2006-07-01
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  • Evaluation of nonlinear prediction methods in demodulated EMG signals from respiratory muscles

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Eugene, N Bruce; Zbigniew, L Topor
    XVI Congress of the International Society of Electrophysiology and Kinesiology
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  • Tractament i interpretació de senyals biomèdiques per l'avaluació clínica i la rehabilitació

     Rojas Martínez, Mónica; Caminal Magrans, Pedro; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Giraldo Giraldo, Beatriz F.; Gomis Román, Pedro; Vallverdú Ferrer, Montserrat; Alonso López, Joan Francesc
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  • Aplicació de tècniques avançades en adquisició i processat de la senyal EMG de superfície per la rehabilitació de la funció muscular

     Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Angel; Romero Lafuente, Sergio; Alonso López, Joan Francesc
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  • Analysis of respiratory and muscle activity by means of cross mutual information function between ventilatory and myographic signals

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Hoyer, D; Topor, Z L; Bruce, E N
    IEEE Engineering in Medicine and Biology Society
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  • Evaluation of nonlinear prediction methods in demodulated EMG signals from respiratory muscles

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Bruce, E N; Topor, Z L
    Congreso Anual de la Sociedad Española de Ingeniería Biomédica
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  • Análisis de la información mutua cruzada entre señales miográficas y respiratorias

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Hoyer, D; Topor, Z L; Bruce, E N
    Congreso Anual de la Sociedad Española de Ingeniería Biomédica
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  • Definición y obtención de parámetros procedentes de la función de información mutua para el estudio del acoplamiento entre señales musculares y respiratorias

     Alonso López, Joan Francesc
    Jornadas de Investigación en Ingeniería Biomédica
    Presentation's date: 2004-06-08
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  • Definición y obtención de parámetros procedentes de la función de información mutua para el estudio del acoplamiento entre señales musculares y respiratorias

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Hoyer, D; Topor, Z L; Bruce, E N
    Jornadas de Investigación en Ingeniería Biomédica
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  • Análisis de la información mutua cruzada entre señales miográficas y respiratorias

     Alonso López, Joan Francesc
    Congreso Anual de la Sociedad Española de Ingeniería Biomédica
    Presentation's date: 2004-11-12
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  • Estudio de la Actividad Muscular Respiratoria Mediante el Análisis de la Información Mutua

     Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Angel; Hoyer, D; Topor, Z L; Bruce, E N
    Jornadas de Automática
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  • Frequency Parameters from Myographic Signals for the Evaluation of Respiratory Muscle Activity during an Increased Ventilatory Effort

     Mañanas Villanueva, Miguel Angel; Alonso López, Joan Francesc; Topor, Z L; Bruce, E N; Houtz, P; Caminal Magrans, Pedro
    IEEE Engineering in Medicine and Biology Society
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  • Tècniques avançades de tractament de senyals biomèdiques per la monitorització, diagnòstic i terapia de patologies cardiorespiratories

     Torres Cebrian, Abel; Caminal Magrans, Pedro; Mañanas Villanueva, Miguel Angel; Jane Campos, Raimon; Romero Lafuente, Sergio; Giraldo Giraldo, Beatriz F.; Vallverdú Ferrer, Montserrat; Alonso López, Joan Francesc
    Participation in a competitive project

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