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Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and markov random field model
In this paper, an approach is proposed for fully automatic segmentation of MS lesions in fluid attenuated inversion recovery (FLAIR) Magnetic Resonance (MR) images. The proposed approach, based on aExpand
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Learning to control arm stiffness under static conditions.
We used a robotic device to test the idea that impedance control involves a process of learning or adaptation that is acquired over time and permits the voluntary control of the pattern of stiffnessExpand
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Preparing to Reach: Selecting an Adaptive Long-Latency Feedback Controller
In a voluntary movement, the nervous system specifies not only the motor commands but also the gains associated with reaction to sensory feedback. For example, suppose that, during reaching, aExpand
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Control of hand impedance under static conditions and during reaching movement.
It is known that humans can modify the impedance of the musculoskeletal periphery, but the extent of this modification is uncertain. Previous studies on impedance control under static conditionsExpand
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Feature extraction based DCT on dynamic signature verification
Signature verification is one of the most accepted biometric techniques, because a signature is a part of everyday life, although less accurate than biometric techniques such as using the iris. InExpand
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Authentication based on signature verification using position, velocity, acceleration and Jerk signals
Signature verification techniques utilize many different characteristics of an individual. The selection of signature features is critical in determining the performance of a signature verificationExpand
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Modeling Huntington’s Disease Considering the Theory of Central Pattern Generators (CPG)
In this study, we present a novel model for Huntington’s disease (HD) gait disorder. We consider the mathematical relations between blocks. The number of inputs and outputs of each block areExpand
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A novel method for automatic determination of different stages of multiple sclerosis lesions in brain MR FLAIR images
It is very important to detect stages of multiple sclerosis (MS) lesions in order to exactly quantify involved voxels. In this paper, a novel method is proposed for automatic detection of differentExpand
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Computational human head models of tDCS: Influence of brain atrophy on current density distribution
Despite increasing attention to the application of transcranial Direct Current Stimulation (tDCS) for enhancing cognitive functions in subjects exposing to varying degree of cerebral atrophy such asExpand
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Constrained incremental predictive controller design for a flexible joint robot.
In this paper, an improved predictive control algorithm for controlling a typical nonlinear flexible-joint robot (FJR) with input constraint is proposed. The receding horizon algorithm, calledExpand
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