In this study, the performance of Sevcik’s algorithm that calculates the fractal dimension and permutation entropy as discriminants to detect calming and insight meditation in electroencephalo-graphic (EEG) signals w...
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In this study, the performance of Sevcik’s algorithm that calculates the fractal dimension and permutation entropy as discriminants to detect calming and insight meditation in electroencephalo-graphic (EEG) signals was assessed. The proposed methods were applied to EEG recordings from meditators practicing insight meditation and calming meditation before as well as during both types of meditation. Analysis was conducted using statistical hypothesis testing to determine the validity of the proposed meditation-identifying techniques. For both types of meditation, there was a statistically significant reduction in the permutation entropy. This result can be explained by the increased EEG synchronization, which is repeatedly observed in the course of meditation. In contrast, the fractal dimension (FD) was significantly increased during calming meditation, but during insight meditation, no statistically significant change was detected. Increased FD during meditation can be interpreted as an increase in self-similarity of EEG signals during self-organisation of hierarchical structure oscillators in the brain. Our results indicate that fractal dimension and permutation entropy could be used as parameters to detect both types of meditation. The permutation entropy is advantageous compared with the fractal dimension because it does not require a stationary signal.
Parallel computational fluid dynamics simulations produce vast amount of numerical result data. This paper introduces a method for reducing the size of the data by replaying the interprocessor traffic. The results are...
Parallel computational fluid dynamics simulations produce vast amount of numerical result data. This paper introduces a method for reducing the size of the data by replaying the interprocessor traffic. The results are recovered only in certain regions of interest configured by the user. A known test case is used for several mesh partitioning scenarios using the OpenFOAM toolkit®[1]. The space savings obtained with classic algorithms remain constant for more than 60 Gb of floating point data. Our method is most efficient on large simulation meshes and is much better suited for compressing large scale simulation results than the regular algorithms.
This paper presents a novel algorithm for the numerical computation of fractional-order derivatives, based on a suitable generalization of a sliding-mode based robust and exact first-order differentiator (see Levant (...
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The paper challenges the current state-of-the-art which is accepted by the automotive industry. Present day vehicles are unsophisticatedly over-engineered and, as a consequence, are uneconomic, hence unsustainable. Ve...
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ISBN:
(纸本)9789898565716
The paper challenges the current state-of-the-art which is accepted by the automotive industry. Present day vehicles are unsophisticatedly over-engineered and, as a consequence, are uneconomic, hence unsustainable. Vehicles currently under development, however, offer tremendous opportunities for shifting from this position to include onboard active safety systems, e.g. collision avoidance. It is argued that future vehicles should be significantly lighter and exploit the developing safety features to the full. Indeed, such a development would reduce the existing need for crashworthiness. The above arguments coupled with parallel developments in smart materials, paves the way towards a new generation of actively controlled vehicle architecture design. Whilst the move to lighter vehicles, with onboard active safety systems and actively controlled structures, may be seen as controversial, there is a convincing case for a paradigm shift towards a truly sustainable transport future.
In this paper the idea of Policy-based Input Selector, which is a framework of a highly flexible modular software interface was presented. The Policy-based Input Selector allows run-time context-sensitive and self-act...
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This paper presents a fully automatic algorithm evaluating the knee joint kinematics on the basis of X-ray images. The practical instantaneous center of rotation (ICR) path acts as the main feature of interest. The X-...
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ISBN:
(纸本)9781467355094
This paper presents a fully automatic algorithm evaluating the knee joint kinematics on the basis of X-ray images. The practical instantaneous center of rotation (ICR) path acts as the main feature of interest. The X-ray images taken from unhealthy child subject while knee flexion, are used as an input data. A clear description of each step of the procedure is provided in the paper, i.e. the image preprocessing, morphological operations, object labeling, image stabilization, determination of bone landmarks, and calculation of ICR. The output information can be used as a basis in the design stage of lower limb rehabilitation manipulator.
In this paper architecture of the control system for the multiple mobile robots is presented. It was designed for teleoperation and multiagent algorithm tests. Subsystems are connected with wired or wireless links dep...
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ISBN:
(纸本)9781467355094
In this paper architecture of the control system for the multiple mobile robots is presented. It was designed for teleoperation and multiagent algorithm tests. Subsystems are connected with wired or wireless links depending on their mobility and distance. The modules, their software and hardware interfaces were designed to make the system easily modifiable as different algorithms require less or more sensors, interaction, communication and computing power. The goal was to design a system on which a large number of control algorithms can run.
In this study, brain, and gait dynamic information were combined and used for diagnosis and monitoring of Parkinson's disease (the most important Neurodegenerative Disorder). Analysis of the information correspond...
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In this study, brain, and gait dynamic information were combined and used for diagnosis and monitoring of Parkinson's disease (the most important Neurodegenerative Disorder). Analysis of the information corresponding to a prescribed movement involving tremor, and the related changes in brain connectivity is novel and original. Analytically, developing a space-time nonlinear adaptive system which fuses brain and gait information algorithmically is proposed here for the first time. The overall dynamic system will be constrained by the clinical impressions of the patient symptoms embedded in a knowledge-based system. The entire complex constrained problem were solved to enable a powerful model for recognition and monitoring of Parkinson's disease and establishing appropriate rules for its clinical following up.
In this paper, a technique of increasing the effectiveness of estimating the overall system uncertainty with a class of high-gain disturbance observers is discussed. In theory, by introducing a particular set of addit...
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ISBN:
(纸本)9781467355094
In this paper, a technique of increasing the effectiveness of estimating the overall system uncertainty with a class of high-gain disturbance observers is discussed. In theory, by introducing a particular set of additional, fictitious states to the system model, the considered observers can more effectively estimate wider variety of disturbances than in their classical forms. This work describes the verification of such theoretical statement also in practice. Both advantages and disadvantages of the proposed framework are pointed out in the paper using an Extended State Observer (ESO), that serves as an working example. An evaluation of the considered technique is carried out through a combination of numerical simulations and laboratory experiments.
This paper analyses the robustness of the Model-Free control (MFC) technique. The experimental tests are conducted on a 2DOF laboratory manipulator. The multidimensional, nonlinear, time-varying, cross-coupled, and mo...
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ISBN:
(纸本)9781479928569
This paper analyses the robustness of the Model-Free control (MFC) technique. The experimental tests are conducted on a 2DOF laboratory manipulator. The multidimensional, nonlinear, time-varying, cross-coupled, and mostly unknown dynamics of the considered system makes an effective control of such plant a highly demanding task. Obtained results are compared with the outcomes of a classical PID controller, widely used in industrial applications. The gathered experimental data makes the MFC a powerful fault-tolerant approach, that can eventually grow to a noticeable alternative to the controllers used in engineering practice nowadays.
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