919 resultados para Speech Motor Control


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Introduction: Transcranial Direct Current Stimulation (tDCS) has been used in studies for the treatment of chronic pain, but their effects on the autonomic nervous system (ANS) are non-existent. Therefore, the need for studies is of fundamental importance, as these individuals have autonomic imbalance and the intensity of this is dependent on the degree and level of injury. Objective: We investigated the effect of tDCS on the ANS in people with spinal cord injury (SCI) with different degrees and levels of injury. Methods: Randomized, placebo-controlled, double-blind, applied anodal tDCS or sham on the primary motor cortex (M1), bilaterally. The subjects (lower incomplete injury, n = 7; lower complete injury, n = 9; and high complete thoracic injury, n = 3) visited the laboratory three times and received active or sham tDCS for 13min. The heart rate variability (HRV) was measured before, during and after stimulation and analyzed the variables LF, HF and LF / HF. Results: The tDCS modulated the ANS in different ways among the groups. In individuals with SCI high complete thoracic the tDCS did not change the HRV. However, for individuals with SCI low incomplete, tDCS changed the HRV in order to increase sympathetic (LF, p = 0.046) and reduced parasympathetic (HF, p = 0.046). For individuals SCI low complete to tDCS changed the HRV reduction sympathetic (LF, p = 0.017) and increased parasympathetic (HF, p = 0.017). Conclusions: The present study suggests that anodal tDCS applied on the motor cortex bilaterally could modulate the ANS balance in people with spinal cord injury and that this effect is dependent on the degree and level of injury.

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The main focus of this research is to design and develop a high performance linear actuator based on a four bar mechanism. The present work includes the detailed analysis (kinematics and dynamics), design, implementation and experimental validation of the newly designed actuator. High performance is characterized by the acceleration of the actuator end effector. The principle of the newly designed actuator is to network the four bar rhombus configuration (where some bars are extended to form an X shape) to attain high acceleration. Firstly, a detailed kinematic analysis of the actuator is presented and kinematic performance is evaluated through MATLAB simulations. A dynamic equation of the actuator is achieved by using the Lagrangian dynamic formulation. A SIMULINK control model of the actuator is developed using the dynamic equation. In addition, Bond Graph methodology is presented for the dynamic simulation. The Bond Graph model comprises individual component modeling of the actuator along with control. Required torque was simulated using the Bond Graph model. Results indicate that, high acceleration (around 20g) can be achieved with modest (3 N-m or less) torque input. A practical prototype of the actuator is designed using SOLIDWORKS and then produced to verify the proof of concept. The design goal was to achieve the peak acceleration of more than 10g at the middle point of the travel length, when the end effector travels the stroke length (around 1 m). The actuator is primarily designed to operate in standalone condition and later to use it in the 3RPR parallel robot. A DC motor is used to operate the actuator. A quadrature encoder is attached with the DC motor to control the end effector. The associated control scheme of the actuator is analyzed and integrated with the physical prototype. From standalone experimentation of the actuator, around 17g acceleration was achieved by the end effector (stroke length was 0.2m to 0.78m). Results indicate that the developed dynamic model results are in good agreement. Finally, a Design of Experiment (DOE) based statistical approach is also introduced to identify the parametric combination that yields the greatest performance. Data are collected by using the Bond Graph model. This approach is helpful in designing the actuator without much complexity.

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Because the interactions between feedforward influences are inextricably linked during many motor outputs (including but not limited to walking), the contribution of descending inputs to the generation of movements is difficult to study. Here we take advantage of the relatively small number of descending neurons (DNs) in the Drosophila melanogaster model system. We first characterize the number and distribution of the DN populations, then present a novel load free preparation, which enables the study of descending control on limb movements in a context where sensory feedback can be is reduced while leaving the nervous system, musculature, and cuticle of the animal relatively intact. Lastly we use in-vivo whole cell patch clamp electrophysiology to characterize the role of individual DNs in response to specific sensory stimuli and in relationship to movement. We find that there are approximately 1100 DNs in Drosophila that are distributed across six clusters. Input from these DNs is not necessary for coordinated motor activity, which can be generated by the thoracic ganglion, but is necessary for the specific combinations of joint movements typically observed in walking. Lastly, we identify a particular cluster of DNs that are tuned to sensory stimuli and innervate the leg neuromeres. We propose that a multi-layered interaction between these DNs, other DNs, and motor circuits in the thoracic ganglia enable the diverse but well-coordinated range of motor outputs an animal might exhibit.

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This paper reports the findings from a study of the learning of English intonation by Spanish speakers within the discourse mode of L2 oral presentation. The purpose of this experiment is, firstly, to compare four prosodic parameters before and after an L2 discourse intonation training programme and, secondly, to confirm whether subjects, after the aforementioned L2 discourse intonation training, are able to match the form of these four prosodic parameters to the discourse-pragmatic function of dominance and control. The study designed the instructions and tasks to create the oral and written corpora and Brazil’s Pronunciation for Advanced Learners of English was adapted for the pedagogical aims of the present study. The learners’ pre- and post-tasks were acoustically analysed and a pre / post- questionnaire design was applied to interpret the acoustic analysis. Results indicate most of the subjects acquired a wider choice of the four prosodic parameters partly due to the prosodically-annotated transcripts that were developed throughout the L2 discourse intonation course. Conversely, qualitative and quantitative data reveal most subjects failed to match the forms to their appropriate pragmatic functions to express dominance and control in an L2 oral presentation.

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Exhaust emissions from diesel engines are a substantial source of air pollution in this country. In recognition of this fact, the Environmental Protection Agency has issued strict new regulations due to take effect -in 1991 and 1994 that will drastically reduce the amount of some pollutants these engines will be allowed to emit. The technology is not currently available to produce diesel engines that can meet these regulations without large penalties in engine performance and efficiency. One technique that offers promise of being able to reduce emissions from both existing engines and new engines is alcohol fumigation.

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Objective: Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback (NF) uses feedback of the patient’s own brain activity to self-regulate brain networks which in turn could lead to a change in behaviour and clinical symptoms. The objective was to determine the effect of neurofeedback and motor training and motor training (MOT) alone on motor and non-motor functions in Parkinson’s disease (PD) in a 10-week small Phase I randomised controlled trial. Methods: 30 patients with PD (Hoehn & Yahr I-III) and no significant comorbidity took part in the trial with random allocation to two groups. Group 1 (NF: 15 patients) received rt-fMRI-NF with motor training. Group 2 (MOT: 15 patients) received motor training alone. The primary outcome measure was the Movement Disorder Society – Unified Parkinson’s Disease Rating Scale-Motor scale (MDS-UPDRS-MS), administered pre- and post-intervention ‘off-medication’. The secondary outcome measures were the ‘on-medication’ MDS-UPDRS, the Parkinson’s disease Questionnaire-39, and quantitative motor assessments after 4 and 10 weeks. Results: Patients in the NF group were able to upregulate activity in the supplementary motor area by using motor imagery. They improved by an average of 4.5 points on the MDS-UPDRS-MS in the ‘off-medication’ state (95% confidence interval: -2.5 to -6.6), whereas the MOT group improved only by 1.9 points (95% confidence interval +3.2 to -6.8). However, the improvement did not differ significantly between the groups. No adverse events were reported in either group. Interpretation: This Phase I study suggests that NF combined with motor training is safe and improves motor symptoms immediately after treatment, but larger trials are needed to explore its superiority over active control conditions. Clinical Trial website : Unique Identifier: NCT01867827 URL: https://clinicaltrials.gov/ct2/show/NCT01867827?term=NCT01867827&rank=1

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En una persona con movilidad reducida, el desplazamiento en una silla de ruedas con motor es equiparable a caminar, porque facilita la igualdad de acceso para: elegir y tomar decisiones, acceder a la información, participar en la educación, el empleo, el ocio y la vida familiar. Hasta hace pocos años, una persona que no podía propulsar una silla de ruedas manual y tampoco podía manejar el joystick de una silla de ruedas eléctrica, se veía obligado a que fuera otra persona quien le "llevara", o le cambiara de postura. Hoy en día las sillas de ruedas eléctricas han evolucionado tanto, que muchas personas pueden desplazarse, ponerse más erguidas, reclinarse o ponerse de pie en la silla, incluso sin el movimiento de las manos. El propósito de este documento es ofrecer asesoramiento sobre los aspectos a tener en cuenta al valorar el acceso más eficaz para controlar la silla de ruedas eléctrica y proporcionar información sobre los diferentes mandos de control y opciones de cambios de postura que hoy día están disponibles en el mercado nacional.

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Día a día nos enfrentamos a emociones propias y ajenas, muchas veces hemos sentido o vivido cómo las emociones toman el control de nuestras acciones, o cómo personas en sus lugares de trabajo, se sienten incómodas, insatisfechas, tristes, alegres, motivadas, o simplemente pasan de la ira al entusiasmo, de la frustración a la satisfacción, entre otro sinfín de emociones, las cuales se manifiestan continuamente, estas emociones pueden hacer que el clima laboral sea agradable y placentero, o por el contrario, se puede convertir en un pesadilla, una de la cual sólo quieres despertar y que no se vuelva a repetir cuando cierres de nuevo los ojos. Pero… ¿cómo se puede luchar contra algo que es igual desde hace más de 200 mil años? Las emociones en el ser humano no han cambiado, simplemente se han ajustado a al ambiente en los que éste se desempeña diariamente, y uno de esos ambientes en los cuales pasamos gran parte de nuestro tiempo es el laboral. Un espacio en donde nos relacionamos e interactuamos con otros individuos y en los cuales debemos realizar actividades encaminadas a cumplir un objetivo o meta solicitada por la organización; muchas veces son nuestras emociones las culpables de nuestros aciertos o desaciertos en donde la rabia o la tranquilidad pueden ser el motor de la toma de decisiones correctas. La clave está en aprender a identificar estas emisiones y en canalizarlas para que trabajen en nuestro beneficio, de modo que nos ayuden a controlar nuestro comportamiento y nuestro pensamiento buscando mejores resultados, además de los resultados de las personas que tenemos a cargo si fuese el caso, ya que cada uno de nosotros influye en el estado de ánimo de los demás para bien o para mal; algo que hacemos continuamente; somos portadores de un “virus social” que genera reacción en los demás. Esto quiere decir que no sólo debemos aprender a controlar nuestras emociones, sino también a “manipular” las de los demás, siendo éste un método de protección ya que permite asegurar que las tareas asignadas sean las adecuadas y en el momento adecuado. Lo más importante es lograr que las personas se sientan bien como seres humanos, y trabajar para que puedan entender el poder que tienen sus emociones en sus acciones. Es así pues que las emociones controladas y seleccionadas adecuadamente son el comienzo de una serie de reacciones que permiten alcanzar las metas planteadas de una manera estratégica y controlada.

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Current hearing-assistive technology performs poorly in noisy multi-talker conditions. The goal of this thesis was to establish the feasibility of using EEG to guide acoustic processing in such conditions. To attain this goal, this research developed a model via the constructive research method, relying on literature review. Several approaches have revealed improvements in the performance of hearing-assistive devices under multi-talker conditions, namely beamforming spatial filtering, model-based sparse coding shrinkage, and onset enhancement of the speech signal. Prior research has shown that electroencephalography (EEG) signals contain information that concerns whether the person is actively listening, what the listener is listening to, and where the attended sound source is. This thesis constructed a model for using EEG information to control beamforming, model-based sparse coding shrinkage, and onset enhancement of the speech signal. The purpose of this model is to propose a framework for using EEG signals to control sound processing to select a single talker in a noisy environment containing multiple talkers speaking simultaneously. On a theoretical level, the model showed that EEG can control acoustical processing. An analysis of the model identified a requirement for real-time processing and that the model inherits the computationally intensive properties of acoustical processing, although the model itself is low complexity placing a relatively small load on computational resources. A research priority is to develop a prototype that controls hearing-assistive devices with EEG. This thesis concludes highlighting challenges for future research.

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Motor vehicle theft costs dearly to the Australian economy. Conservative estimates have put the annual cost of this form of illegal activity at 654 million during 1996. A number of initiatives aimed at reducing the incidence and cost of car theft have been implemented in recent years, yet statistics indicate that car theft is on the increase. Several authors have proposed an integrated approach to the regulation of markets for stolen property. Understanding property crime as a market is central to identifying approaches to its control. This paper discusses an industry model of crime and develops it on Australian data. Our model is an adaptation of one originally proposed by Vandeale (1978). It considers a production sector that uses inputs from a market of illegal labour to generate a supply of illegal goods that are traded in a product market. These sectors interact with each other and with a criminal justice sector. The model is applied to the analysis of car theft in Queensland.

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Objetivo: Evaluar la exposición a plaguicidas organofosforados y el desempeño neuropsicológico y motor de trabajadores/as agrícolas y no agrícolas de la Región del Maule, Chile. Método: Estudio transversal analítico con 93 trabajadores/as agrícolas expuestos/as a plaguicidas organofosforados y 84 trabajadores/as no agrícolas no expuestos/as. Se administró una batería de cuatro pruebas neuropsicológicas junto con un examen físico neuromotor. Resultados: Los/las trabajadores/as agrícolas expuestos/as tuvieron un menor desempeño en la escala de inteligencia de Wechsler para Adultos (WAIS-IV) en comprensión verbal (Β = -3,2; p = 0,034), en velocidad de procesamiento (Β = -4,4; p = 0,036) y en la escala total (Β = -4; p = 0,016); sensibilidad discriminativa (Β = 1, p = 0,009) ajustada por años de educación o edad en comparación con los controles. Conclusiones: Se sugiere el desarrollo de políticas en materia de control, venta y uso de plaguicidas organofosforados, y de intervenciones con la población expuesta respecto a medidas de seguridad.

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Human standing posture is inherently unstable. The postural control system (PCS), which maintains standing posture, is composed of the sensory, musculoskeletal, and central nervous systems. Together these systems integrate sensory afferents and generate appropriate motor efferents to adjust posture. The PCS maintains the body center of mass (COM) with respect to the base of support while constantly resisting destabilizing forces from internal and external perturbations. To assess the human PCS, postural sway during quiet standing or in response to external perturbation have frequently been examined descriptively. Minimal work has been done to understand and quantify the robustness of the PCS to perturbations. Further, there have been some previous attempts to assess the dynamical systems aspects of the PCS or time evolutionary properties of postural sway. However those techniques can only provide summary information about the PCS characteristics; they cannot provide specific information about or recreate the actual sway behavior. This dissertation consists of two parts: part I, the development of two novel methods to assess the human PCS and, part II, the application of these methods. In study 1, a systematic method for analyzing the human PCS during perturbed stance was developed. A mild impulsive perturbation that subjects can easily experience in their daily lives was used. A measure of robustness of the PCS, 1/MaxSens that was based on the inverse of the sensitivity of the system, was introduced. 1/MaxSens successfully quantified the reduced robustness to external perturbations due to age-related degradation of the PCS. In study 2, a stochastic model was used to better understand the human PCS in terms of dynamical systems aspect. This methodology also has the advantage over previous methods in that the sway behavior is captured in a model that can be used to recreate the random oscillatory properties of the PCS. The invariant density which describes the long-term stationary behavior of the center of pressure (COP) was computed from a Markov chain model that was applied to postural sway data during quiet stance. In order to validate the Invariant Density Analysis (IDA), we applied the technique to COP data from different age groups. We found that older adults swayed farther from the centroid and in more stochastic and random manner than young adults. In part II, the tools developed in part I were applied to both occupational and clinical situations. In study 3, 1/MaxSens and IDA were applied to a population of firefighters to investigate the effects of air bottle configuration (weight and size) and vision on the postural stability of firefighters. We found that both air bottle weight and loss of vision, but not size of air bottle, significantly decreased balance performance and increased fall risk. In study 4, IDA was applied to data collected on 444 community-dwelling elderly adults from the MOBILIZE Boston Study. Four out of five IDA parameters were able to successfully differentiate recurrent fallers from non-fallers, while only five out of 30 more common descriptive and stochastic COP measures could distinguish the two groups. Fall history and the IDA parameter of entropy were found to be significant risk factors for falls. This research proposed a new measure for the PCS robustness (1/MaxSens) and a new technique for quantifying the dynamical systems aspect of the PCS (IDA). These new PCS analysis techniques provide easy and effective ways to assess the PCS in occupational and clinical environments.

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This document describes the kinds of items accepted for recycling at Lexington County recycling centers.