26 resultados para signals analysis

em Universidad Politécnica de Madrid


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The advent of new signal processing methods, such as non-linear analysis techniques, represents a new perspective which adds further value to brain signals' analysis. Particularly, Lempel–Ziv's Complexity (LZC) has proven to be useful in exploring the complexity of the brain electromagnetic activity. However, an important problem is the lack of knowledge about the physiological determinants of these measures. Although acorrelation between complexity and connectivity has been proposed, this hypothesis was never tested in vivo. Thus, the correlation between the microstructure of the anatomic connectivity and the functional complexity of the brain needs to be inspected. In this study we analyzed the correlation between LZC and fractional anisotropy (FA), a scalar quantity derived from diffusion tensors that is particularly useful as an estimate of the functional integrity of myelinated axonal fibers, in a group of sixteen healthy adults (all female, mean age 65.56 ± 6.06 years, intervals 58–82). Our results showed a positive correlation between FA and LZC scores in regions including clusters in the splenium of the corpus callosum, cingulum, parahipocampal regions and the sagittal stratum. This study supports the notion of a positive correlation between the functional complexity of the brain and the microstructure of its anatomical connectivity. Our investigation proved that a combination of neuroanatomical and neurophysiological techniques may shed some light on the underlying physiological determinants of brain's oscillations

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En el presente documento se hablará acerca del desarrollo de un proyecto para la mejora de un programa de análisis de señales; con ese fin, se hará uso de técnicas de optimización del software y de tecnologías de aceleración, mediante el aprovechamiento del paralelismo del programa. Además se hará un análisis de acerca del uso de dos tecnologías basadas en diferentes paradigmas de programación paralela; una mediante múltiples hilos con memoria compartida y la otra mediante el uso de GPUs como dispositivos de coprocesamiento. This paper will talk about the development of a Project to improve a program that does signals analysis; to that end, it will make use of software optimization techniques and acceleration technologies by exploiting parallelism in the program. In Addition will be done an analysis on the use of two technologies based on two different paradigms; one using multiple threads with shared memory and the other using GPU as co-processing devices.

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En esta Tesis se plantea una nueva forma de entender la evacuación apoyándonos en tecnologías existentes y accesibles que nos permitirán ver este proceso como un ente dinámico. Se trata de una metodología que implica no solo el uso de herramientas de análisis que permitan la definición de planes de evacuación en tiempo real, sino que también se apunta hacia la creación de una infraestructura física que permita alimentar con información actualizada al sistema de forma que, según la situación y la evolución de la emergencia, sea posible realizar planes alternativos que se adapten a las nuevas circunstancias. En base a esto, el sistema asimilará toda esa información y aportará soluciones que faciliten la toma de decisiones durante toda la evolución del incidente. Las aportaciones originales de esta Tesis son múltiples y muy variadas, pudiéndolas resumir en los siguientes puntos: 1. Estudio completo del estado del arte: a. Detección y análisis de diferentes proyectos a nivel internacional que de forma parcial tratan algunos aspectos desarrollados en la Tesis. b. Completo estudio a nivel mundial del software desarrollado total o parcialmente para la simulación del comportamiento humano y análisis de procesos de evacuación. Se ha generado una base de datos que cataloga de forma exhaustiva estas aplicaciones, permitiendo realizar un completo análisis y posibilitando la evolución futura de los contenidos de la misma. En la tesis se han analizado casi un centenar de desarrollos, pero el objetivo es seguir completando esta base de datos debido a la gran utilidad y a las importantes posibilidades que ofrece. 2. Desarrollo de un importante capítulo que trata sobre la posibilidad de utilizar entornos virtuales como alternativa intermedia al uso de simuladores y simulacros. En esta sección se divide en dos bloques: a. Ensayos en entornos reales y virtuales. b. Ensayos en entornos virtuales (pruebas realizadas con varios entornos virtuales). 3. Desarrollo de e-Flow net design: paquete de herramientas desarrolladas sobre Rhinoceros para el diseño de la red de evacuación basada en los elementos definidos en la tesis: Nodes, paths, Relations y Areas. 4. Desarrollo de e-Flow Simulator: Conjunto de herramientas que transforman Rhinoceros en un simulador 3D de comportamiento humano. Este simulador, de desarrollo propio, incorpora un novedoso algoritmo de comportamiento a nivel de individuo que incluye aspectos que no se han encontrado en otros simuladores. Esta herramienta permite realizar simulaciones programadas de grupos de individuos cuyo comportamiento se basa en el análisis del entorno y en la presencia de referencias dinámicas. Incluye otras importantes novedades como por ejemplo: herramientas para análisis de la señalización, elementos de señalización dinámica, incorporación sencilla de obstáculos, etc. También se ha creado una herramienta que posibilita la implementación del movimiento del propio escenario simulando la oscilación del mismo, con objeto de reflejar la influencia del movimiento del buque en el desplazamiento de los individuos. 5. En una fase avanzada del desarrollo, se incorporó la posibilidad de generar un vídeo de toda la simulación, momento a partir del cual, se han documentado todas las pruebas (y se continúan documentando) en una base de datos que recoge todas las características de las simulaciones, los problemas detectados, etc. Estas pruebas constituyen, en el momento en que se ha cerrado la redacción de la Tesis, un total de 81 GB de datos. Generación y análisis de rutas en base a la red de evacuación creada con e-Flow Net design y las simulaciones realizadas con e-Flow Net simulator. a. Análisis para la optimización de la configuración de la red en base a los nodos por área existentes. b. Definición de procesos previos al cálculo de rutas posibles. c. Cálculo de rutas: i. Análisis de los diferentes algoritmos que existen en la actualidad para la optimización de rutas. ii. Desarrollo de una nueva familia de algoritmos que he denominado “Minimum Decision Algorithm (MDA)”, siendo los algoritmos que componen esta familia: 1. MDA básico. 2. MDA mínimo. 3. MDA de no interferencia espacial. 4. MDA de expansión. 5. MDA de expansión ordenada para un único origen. 6. MDA de expansión ordenada. iii. Todos estos algoritmos se han implementado en la aplicación e-Flow creada en la Tesis para el análisis de rutas y que constituye el núcleo del Sistema de Ayuda al Capitán. d. Determinación de las alternativas para el plan de evacuación. Tras la definición de las rutas posibles, se describen diferentes procesos existentes de análisis por ponderación en base a criterios, para pasar finalmente a definir el método de desarrollo propio propuesto en esta Tesis y cuyo objetivo es responder en base a la población de rutas posibles obtenidas mediante los algoritmos MDA, qué combinación de rutas constituyen el Plan o Planes más adecuados para cada situación. La metodología creada para la selección de combinaciones de rutas que determinan un Plan completo, se basa en cuatro criterios básicos que tras su aplicación ofrecen las mejores alternativas. En esta fase también se incluye un complejo análisis de evolución temporal que incorpora novedosas definiciones y formulaciones. e. Derivado de la definición de la metodología creada en esta Tesis para la realización de los análisis de evolución temporal, se ha podido definir un nuevo teorema matemático que se ha bautizado como “Familia de cuadriláteros de área constante”. 7. Especificación de la infraestructura física del Sistema de Ayuda al Capitán: parte fundamental de sistema es la infraestructura física sobre la que se sustentaría. Esta infraestructura estaría compuesta por sensores, actuadores, aplicaciones para dispositivos móviles, etc. En este capítulo se analizan los diferentes elementos que la constituirían y las tecnologías implicadas. 8. Especificación de la infraestructura de servicios. 9. Creación del Blog Virtual Environments (http://epcinnova-virtualenvironments.blogspot.com.es/) en el que se han publicado todas las pruebas realizadas en el capítulo que analiza los entornos virtuales como alternativa a los simuladores y a los ensayos en laboratorio o los simulacros, incluyendo en muchos casos la posibilidad de que el visitante del blog pueda realizar la simulación en el entorno virtual. Este blog también incluye otras secciones que se han trabajado durante la Tesis: • Recopilación de diferentes entornos virtuales existentes. • Diagrama que recopila información sobre accidentes tanto en el ámbito marítimo como en el terrestre (en desarrollo). • Esquema propuesto para el acopio de información obtenida a partir de un simulacro. 10. Esta Tesis es la base para el proyecto e-Flow (nombre de una de las aplicaciones que desarrolladas en esta obra), un proyecto en el que el autor de esta Tesis ha trabajado como Project Manager. En el proyecto participa un consorcio de empresas y la UPM, y tiene como objetivo trasladar a la realidad gran parte de los planteamientos e ideas presentadas en esta Tesis. Este proyecto incluye el desarrollo de la infraestructura física y de servicios que permitirán, entre otras cosas, implementar en infraestructuras complejas una plataforma que posibilita la evacuación dinámica y un control ubicuo de los sistemas de monitorización y actuación implementados. En estos momentos se está finalizando el proyecto, cuyo objetivo final es la implementación de un piloto en un Hospital. También destacamos los siguientes avances a nivel de difusión científico-tecnológico: • Ponencia en el “52 congreso de la Ingeniería Naval en España” presentando un artículo “e-Flow- Sistema integral inteligente de soporte a la evacuación”. En este artículo se trata tanto el proyecto e-Flow del que soy Project Manager, como esta Tesis Doctoral, al ser temas estrechamente vinculados. En 2014 se publicó en dos números de la Revista Ingeniería Naval el artículo presentado a estas jornadas. • Co-autor en el artículo “E-Flow: A communication system for user notification in dynamic evacuation scenarios” presentado en el 7th International Conference on Ubicuous Computing & Ambient Intelligence (UCAMI) celebrado en Costa Rica. Por último, una de las aportaciones más interesantes, es la definición de un gran número de líneas de investigación futuras en base a todos los avances realizados en esta Tesis. ABSTRACT With this Thesis a new approach for understanding evacuation process is considered, taking advantage of the existing and open technologies that will allow this process to be interpreted as a dynamic entity. The methodology involves not only tools that allows on.-time evacuation plans, but also creates a physical insfrastructure that makes possible to feed the system with information on real time so, considering in each moment the real situation as well as the specific emergency development it will be feasible to generate alternative plans that responds to the current emergency situation. In this respect, the system will store all this information and will feedback with solutions that will help the decision making along the evacuation process. The innovative and singular contributions of this Thesis are numerous and rich, summarised as follows: 1.- Complete state-of-art study: a. Detection and analysis of different projects on an international level that, although partially, deal with some aspects developed in this Thesis. b. Thorough study at a international level of the developed software - total or partially done - for the simulation of the human behaviour and evacuation processes analysis. A database has been generated that classifies in detail these applications allowing to perform a full analysis and leading to future evolution of its contents. Within the Thesis work, almost a hundred of developments have been analysed but the purpose is to keep up updating this database due to the broad applications and possibilities that it involves. 2. Development of an important chapter that studies the possibility of using virtual scenarios as mid-term alternative for the use of simulations. This section is divided in two blocks: a. Trials in virtual and real scenarios b. Trials in virutal scenarios (trials performed with several ones). 3. E-Flow net design development: Set of tools developed under Rhinoceros for the evacuation net design based on the elements defined in the Thesis: Nodes, Paths, Relations, Areas 4. E-Flow simulator development: Set of tools that uses Rhinoceros as a 3D simulator of human behaviour. This simulator, of my own design, includes a new and original algorithm of human behaviour that involves aspects that are not found in other simulators. This tool allows to perform groups programmed simulations which behaviour is based on their enviroment analysis and presence of dynamic references. It includes other important innovations as for example: tools for signals analysis, dynamic signal elements, easy obstacle adding etc... More over, a tool that allows the own scenario movement implementation has been created by simulating the own oscillation movement, with the purpose of playing the vessel movement's influences in the individuals' displacements. 5. In an advanced stage of the development, the possibility of generating a video recording of all the simulation was also integrated, then from that moment all tests have been filed (and keep on doing so) in a database that collects all simulation characteristics, failures detected, etc. These stored tests amounts to a total of 81 GB at the moment of finishing the Thesis work. Generation and analysis of paths regarding the evacuation net created with E-Flow design and the simulations performed with E-Flow net Simulator. a. Analysis for the optimisation of the network configuration based in the existing nodes per area. b. Definition of the processes previous to the calculation of the feasible paths c. Paths calculation: i. Analysis of the different algorithms on existance nowadays for the routes optimisation. ii. Development of a new family of algorithms that I have called “Minimum Decision Algorithm (MDA)”, being composed of: 1. MDA basic 2. MDA minimum 3. MDA of not spacial interference 4. MDA of expansion (es de extenderse) o enlargement ( es de crecimiento) 5. MDA of organised expansion for a single origin (of organised enlargement for a single origin) 6. MDA of organised expansion (of organised enlargement) iii. All these algorithms have been implemented in the E-Flow application created in the Thesis dfor the routes analysis and it is the core of the Captain's support system. d. Determination of the alternatives for the evacuation plan. After defining all possible paths, different processes of analysis existing for weighing-based criteria are described, thus to end defining the own development method proposed in this Thesis and that aims to respond in an agreggation of possible routes basis obtained by means of the MDA algorithms what is the routes' combination more suitable for the Plan or Plans in every situation. The methodology created fot the selection of the combinations of routes that determine a complete Plan is baesd in four basic criteria that after applying, offer the best alternatives. In this stage a complex analysis of the progress along time is also included, that adds original and innovative defintions and formulations. e. Originated from the methodology created in this Thesis for the perfoming of the analysy of the progress along time, a new mathematic theorem has been defined, that has been called as "Family of quadrilateral of constant area". 7. Specification of the physiscal infrastructure of the Captain's help system: essential part is this physical infrastructure that will support it. This system will be made of sensors, actuators, apps for mobile devices etc... Within this chapter the different elements and technologies that make up this infrastructure will be studied. 8. Specification for the services infrastructure. 9. Start up of the Blog. " Virtual Environments (http://epcinnova-virtualenvironments.blogspot.com.es/)" in which all tests performed have been published in terms of analysis of the virtual enviroments as alternative to the simulators as well as to the laboratory experiments or simulations, including in most of the cases the possibility that the visitor can perform the simulation within the virtual enviroment. This blog also includes other sections that have been worked along and within this Thesis: - Collection of different virtual scenarios existent. - Schema that gathers information concerning accidents for maritime and terrestrial areas (under development) - Schema proposed for the collecting of information obtained from a simulation. 10. This Thesis is the basis of the E-Flow project (name of one of the applications developed in this work), a project in which the Thesis' author has worked in as Project Manager. In the project takes part a consortium of firms as well as the UPM and the aim is to bring to real life most part of the approaches and ideas contained in this Thesis. This project includes the development of the physical infrastructure as well as the services that will allow, among others, implement in complex infrastrucutres a platform that will make possible a dynamic evacuation and a continuous control of the monitoring and acting systems implemented. At the moment the project is getting to an end which goal is the implementation of a pilot project in a Hospital. We also would like to highlight the following advances concerning the scientific-technology divulgation: • Talk in the " 52th Congress of the Naval Engineering in Spain" with the article "E-Flow . Intelligent system integrated for supporting evacuation". This paper is about project E-Flow which I am Project Manager of, as well as this Thesis for the Doctorate, being both closely related. Two papers published In 2014 in the Naval Engineering Magazine. • Co-author in the article “E-Flow: A communication system for user notification in dynamic evacuation scenarios” [17] introduced in the 7th International Conference on Ubicuous Computing & Ambient Intelligence (UCAMI) held in Costa Rica. Last, but not least, one of the more interesting contributions is the defintion of several lines of research in the future, based on the advances made in this Thesis.

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We consider the problem of developing efficient sampling schemes for multiband sparse signals. Previous results on multicoset sampling implementations that lead to universal sampling patterns (which guarantee perfect reconstruction), are based on a set of appropriate interleaved analog to digital converters, all of them operating at the same sampling frequency. In this paper we propose an alternative multirate synchronous implementation of multicoset codes, that is, all the analog to digital converters in the sampling scheme operate at different sampling frequencies, without need of introducing any delay. The interleaving is achieved through the usage of different rates, whose sum is significantly lower than the Nyquist rate of the multiband signal. To obtain universal patterns the sampling matrix is formulated and analyzed. Appropriate choices of the parameters, that is the block length and the sampling rates, are also proposed.

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The main objective of this paper is to present some tools to analyze a digital chaotic signal. We have proposed some of them previously, as a new type of phase diagrams with binary signals converted to hexadecimal. Moreover, the main emphasis will be given in this paper to an analysis of the chaotic signal based on the Lempel and Ziv method. This technique has been employed partly by us to a very short stream of data. In this paper we will extend this method to long trains of data (larger than 2000 bit units). The main characteristics of the chaotic signal are obtained with this method being possible to present numerical values to indicate the properties of the chaos.

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This Doctoral Thesis entitled Contribution to the analysis, design and assessment of compact antenna test ranges at millimeter wavelengths aims to deepen the knowledge of a particular antenna measurement system: the compact range, operating in the frequency bands of millimeter wavelengths. The thesis has been developed at Radiation Group (GR), an antenna laboratory which belongs to the Signals, Systems and Radiocommunications department (SSR), from Technical University of Madrid (UPM). The Radiation Group owns an extensive experience on antenna measurements, running at present four facilities which operate in different configurations: Gregorian compact antenna test range, spherical near field, planar near field and semianechoic arch system. The research work performed in line with this thesis contributes the knowledge of the first measurement configuration at higher frequencies, beyond the microwaves region where Radiation Group features customer-level performance. To reach this high level purpose, a set of scientific tasks were sequentially carried out. Those are succinctly described in the subsequent paragraphs. A first step dealed with the State of Art review. The study of scientific literature dealed with the analysis of measurement practices in compact antenna test ranges in addition with the particularities of millimeter wavelength technologies. Joint study of both fields of knowledge converged, when this measurement facilities are of interest, in a series of technological challenges which become serious bottlenecks at different stages: analysis, design and assessment. Thirdly after the overview study, focus was set on Electromagnetic analysis algorithms. These formulations allow to approach certain electromagnetic features of interest, such as field distribution phase or stray signal analysis of particular structures when they interact with electromagnetic waves sources. Properly operated, a CATR facility features electromagnetic waves collimation optics which are large, in terms of wavelengths. Accordingly, the electromagnetic analysis tasks introduce an extense number of mathematic unknowns which grow with frequency, following different polynomic order laws depending on the used algorithmia. In particular, the optics configuration which was of our interest consisted on the reflection type serrated edge collimator. The analysis of these devices requires a flexible handling of almost arbitrary scattering geometries, becoming this flexibility the nucleus of the algorithmia’s ability to perform the subsequent design tasks. This thesis’ contribution to this field of knowledge consisted on reaching a formulation which was powerful at the same time when dealing with various analysis geometries and computationally speaking. Two algorithmia were developed. While based on the same principle of hybridization, they reached different order Physics performance at the cost of the computational efficiency. Inter-comparison of their CATR design capabilities was performed, reaching both qualitative as well as quantitative conclusions on their scope. In third place, interest was shifted from analysis - design tasks towards range assessment. Millimetre wavelengths imply strict mechanical tolerances and fine setup adjustment. In addition, the large number of unknowns issue already faced in the analysis stage appears as well in the on chamber field probing stage. Natural decrease of dynamic range available by semiconductor millimeter waves sources requires in addition larger integration times at each probing point. These peculiarities increase exponentially the difficulty of performing assessment processes in CATR facilities beyond microwaves. The bottleneck becomes so tight that it compromises the range characterization beyond a certain limit frequency which typically lies on the lowest segment of millimeter wavelength frequencies. However the value of range assessment moves, on the contrary, towards the highest segment. This thesis contributes this technological scenario developing quiet zone probing techniques which achieves substantial data reduction ratii. Collaterally, it increases the robustness of the results to noise, which is a virtual rise of the setup’s available dynamic range. In fourth place, the environmental sensitivity of millimeter wavelengths issue was approached. It is well known the drifts of electromagnetic experiments due to the dependance of the re sults with respect to the surrounding environment. This feature relegates many industrial practices of microwave frequencies to the experimental stage, at millimeter wavelengths. In particular, evolution of the atmosphere within acceptable conditioning bounds redounds in drift phenomena which completely mask the experimental results. The contribution of this thesis on this aspect consists on modeling electrically the indoor atmosphere existing in a CATR, as a function of environmental variables which affect the range’s performance. A simple model was developed, being able to handle high level phenomena, such as feed - probe phase drift as a function of low level magnitudes easy to be sampled: relative humidity and temperature. With this model, environmental compensation can be performed and chamber conditioning is automatically extended towards higher frequencies. Therefore, the purpose of this thesis is to go further into the knowledge of millimetre wavelengths involving compact antenna test ranges. This knowledge is dosified through the sequential stages of a CATR conception, form early low level electromagnetic analysis towards the assessment of an operative facility, stages for each one of which nowadays bottleneck phenomena exist and seriously compromise the antenna measurement practices at millimeter wavelengths.

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The electroencephalograph (EEG) signal is one of the most widely used signals in the biomedicine field due to its rich information about human tasks. This research study describes a new approach based on i) build reference models from a set of time series, based on the analysis of the events that they contain, is suitable for domains where the relevant information is concentrated in specific regions of the time series, known as events. In order to deal with events, each event is characterized by a set of attributes. ii) Discrete wavelet transform to the EEG data in order to extract temporal information in the form of changes in the frequency domain over time- that is they are able to extract non-stationary signals embedded in the noisy background of the human brain. The performance of the model was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed scheme has potential in classifying the EEG signals.

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This paper presents a theoretical analysis of possible jitter impact in application of numeric criterion for fastmeasurement of frequency by coincidence principle. The primary goal is the generation of a signal containing a known amount of each jitter components. This signal was used for testing signals with regular pulse trains. Initially, jitter components are analyzed and modeled individually. Next, sequences for combining different kinds of jitter are modeled, simulated and evaluated. Jitter model simulation in Matlab is utilized to show the independence of frequencymeasurement results on the total jitter present in the reference and desired pulse trains independently. A good agreement between previously introduced theory of fastmeasurement of frequency and simulation in jitter presence is verified; these results allows to engineers use the numeric criterion for fastmeasurement of frequency in spite to interactions among jitter components in various applications for frequency domain sensors.

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Independent Components Analysis is a Blind Source Separation method that aims to find the pure source signals mixed together in unknown proportions in the observed signals under study. It does this by searching for factors which are mutually statistically independent. It can thus be classified among the latent-variable based methods. Like other methods based on latent variables, a careful investigation has to be carried out to find out which factors are significant and which are not. Therefore, it is important to dispose of a validation procedure to decide on the optimal number of independent components to include in the final model. This can be made complicated by the fact that two consecutive models may differ in the order and signs of similarly-indexed ICs. As well, the structure of the extracted sources can change as a function of the number of factors calculated. Two methods for determining the optimal number of ICs are proposed in this article and applied to simulated and real datasets to demonstrate their performance.

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This paper proposes a method for the identification of different partial discharges (PDs) sources through the analysis of a collection of PD signals acquired with a PD measurement system. This method, robust and sensitive enough to cope with noisy data and external interferences, combines the characterization of each signal from the collection, with a clustering procedure, the CLARA algorithm. Several features are proposed for the characterization of the signals, being the wavelet variances, the frequency estimated with the Prony method, and the energy, the most relevant for the performance of the clustering procedure. The result of the unsupervised classification is a set of clusters each containing those signals which are more similar to each other than to those in other clusters. The analysis of the classification results permits both the identification of different PD sources and the discrimination between original PD signals, reflections, noise and external interferences. The methods and graphical tools detailed in this paper have been coded and published as a contributed package of the R environment under a GNU/GPL license.

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Magnetoencephalography (MEG) allows the real-time recording of neural activity and oscillatory activity in distributed neural networks. We applied a non-linear complexity analysis to resting-state neural activity as measured using whole-head MEG. Recordings were obtained from 20 unmedicated patients with major depressive disorder and 19 matched healthy controls. Subsequently, after 6 months of pharmacological treatment with the antidepressant mirtazapine 30 mg/day, patients received a second MEG scan. A measure of the complexity of neural signals, the Lempel–Ziv Complexity (LZC), was derived from the MEG time series. We found that depressed patients showed higher pre-treatment complexity values compared with controls, and that complexity values decreased after 6 months of effective pharmacological treatment, although this effect was statistically significant only in younger patients. The main treatment effect was to recover the tendency observed in controls of a positive correlation between age and complexity values. Importantly, the reduction of complexity with treatment correlated with the degree of clinical symptom remission. We suggest that LZC, a formal measure of neural activity complexity, is sensitive to the dynamic physiological changes observed in depression and may potentially offer an objective marker of depression and its remission after treatment.

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Here an inertial sensor-based monitoring system for measuring and analyzing upper limb movements is presented. The final goal is the integration of this motion-tracking device within a portable rehabilitation system for brain injury patients. A set of four inertial sensors mounted on a special garment worn by the patient provides the quaternions representing the patient upper limb’s orientation in space. A kinematic model is built to estimate 3D upper limb motion for accurate therapeutic evaluation. The human upper limb is represented as a kinematic chain of rigid bodies with three joints and six degrees of freedom. Validation of the system has been performed by co-registration of movements with a commercial optoelectronic tracking system. Successful results are shown that exhibit a high correlation among signals provided by both devices and obtained at the Institut Guttmann Neurorehabilitation Hospital.

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An increasing number of neuroimaging studies are concerned with the identification of interactions or statistical dependencies between brain areas. Dependencies between the activities of different brain regions can be quantified with functional connectivity measures such as the cross-correlation coefficient. An important factor limiting the accuracy of such measures is the amount of empirical data available. For event-related protocols, the amount of data also affects the temporal resolution of the analysis. We use analytical expressions to calculate the amount of empirical data needed to establish whether a certain level of dependency is significant when the time series are autocorrelated, as is the case for biological signals. These analytical results are then contrasted with estimates from simulations based on real data recorded with magnetoencephalography during a resting-state paradigm and during the presentation of visual stimuli. Results indicate that, for broadband signals, 50–100 s of data is required to detect a true underlying cross-correlations coefficient of 0.05. This corresponds to a resolution of a few hundred milliseconds for typical event-related recordings. The required time window increases for narrow band signals as frequency decreases. For instance, approximately 3 times as much data is necessary for signals in the alpha band. Important implications can be derived for the design and interpretation of experiments to characterize weak interactions, which are potentially important for brain processing.

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The analysis of the interdependence between time series has become an important field of research, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, and the introduction of concepts such as Generalized (GS) and Phase synchronization (PS). This increase in the number of approaches to tackle the existence of the so-called functional (FC) and effective connectivity (EC) (Friston 1994) between two, (or among many) neural networks, along with their mathematical complexity, makes it desirable to arrange them into a unified toolbox, thereby allowing neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of them.

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A new methodology to study irregular behaviours in logic cells is reported. It is based on two types of diagrams, namely phase and working diagrams. Sets of four bits are grouped and represented by their hexadecimal equivalent. Some hexadecimal numbers correspond to certain logic functions. The influence of the internal and external tolerances, namely those appearing in the employed devices and in the working signals, may be analysed with this method. Its importance in the case of logic structures with chaotic behaviours is studied.