During the past several years, strategies have been proposed for control of joint movement in paraplegic subjects using functional electrical stimulation (FES), but developing a strategy that provides satisfactory tracking performance, to be robust against time-varying properties muscle-joint dynamics, day-to-day variations, subject-to-subject muscle fatigue, and external disturbances, easy apply without any re-identification plant dynamics during different experiment sessions is still an...

A major challenge to developing functional electrical stimulation (FES) systems for paraplegic walking and widespread acceptance of these is the design a robust control strategy that provides satisfactory tracking performance. The need be against time-varying properties neuromusculoskeletal dynamics, day-to-day variations, subject-to-subject external disturbances, must easily applied without requiring offline identification during different experimental sessions. Another problem related...

In this paper, a fully automatic robust control strategy is proposed for of paraplegic pedaling using functional electrical stimulation (FES). The method based on higher-order sliding mode (HOSM) and fuzzy logic control. FES, the strength muscle contraction can be altered either by varying pulse width (PW) or amplitude (PA) signal. regulates simultaneously both PA PW (i.e., PA/PW modulation). A HOSM controller designed regulating PA. scheme free-model does not require any offline training...

Objective Electrical stimulation of the pudendal nerve, pelvic sacral dorsal root ganglion (DRG), and spinal cord has been explored to treat urinary incontinence overactive bladder (OAB). This study introduces intraspinal microstimulation (ISMS) as a novel method inhibit spontaneous reflexes in anesthetized cats. In addition, we investigated effects intermittent switching patterns on inhibition. Methods The electrode was implanted horn S2 cord. Bladder pressure recorded under isovolumetric...

A decentralized control methodology is designed for the of ankle dorsiflexion and plantarflexion in paraplegic subjects with electrical stimulation tibialis anterior calf muscles. Each muscle joint considered as a subsystem individual controllers are each subsystem. controller operates solely on its associated subsystem, no exchange information between subsystems. The interactions subsystems taken external disturbances isolated In order to achieve robustness respect disturbances, unmodeled...

Cognitive tasks using motor imagery have been used for generating and controlling EEG activity in most brain-computer interface (BCI). Nevertheless, during the performance of a particular mental task, different factors such as concentration, attention, level consciousness difficulty may be affecting changes activity. Accordingly, training subject to consistently reliably produce control signals is critical issue developing BCI system. In this work, we meditation practice enhance mind...

One of the most informative measures for feature extraction (FE) is mutual information (MI). In terms MI, optimal FE creates new features that jointly have largest dependency on target class. However, obtaining an accurate estimate a high-dimensional MI as well optimizing with respect to it not always easy, especially when only small training sets are available. this paper, we propose efficient tree-based method in which at each step created by selecting and linearly combining two such...

In this paper, nonlinear dynamical analysis based on Recurrence Quantification Analysis (RQA) is employed to characterize the EEG dynamics. RQA can provide useful quantitative information regular, chaotic, or stochastic property of underlying dynamics.We use RQA-based measures as features Mutual Information (MI) was used find most relevant feature subset out features. The selected were fed into an artificial neural network for grouping recordings detect ictal, interictal, and healthy states....

A P300-based speller BCI with large target symbols was designed to improve the detection accuracy and information transfer rate (ITR) as well overcome adjacency, crowding, fatigue problems. The paradigm consists of a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$8\times 7$ </tex-math></inline-formula> matrix which uses only 8 flashing characters for selection. Another critical issue in design is feature...

During the last decade, intraspinal microstimulation (ISMS) has been proposed as a potential technique for restoring motor function in paralyzed limbs. A major challenge to restoration of desired functional limb movement through use ISMS is development robust control strategy determining stimulation patterns. Accurate and stable limbs by very difficult task because neuromusculoskeletal systems have significant nonlinearity, time variability, large latency constant, muscle fatigue....

A method for the estimation of force generated by electrically stimulated muscle during isometric contraction is developed here. It based upon measurements evoked electromyogram (EMG) [EEMG] signal. Muscle stimulation provided to quadriceps a paralyzed human subject using percutaneous intramuscular electrodes, and EEMG signals are collected surface electrodes. Through use novel signal acquisition processing techniques, as well, mathematical model that reflects both excitation activation...

This article explores the use of independent component analysis (ICA) approach to design a new EEG-based brain-computer interface (BCI) for natural control prosthetic hand grasp. ICA is useful technique that allows blind separation sources, linearly mixed, assuming only statistical independence these sources. suggests possibility using separate different brain activities during motor imagery into components. work provides basis developing an efficient BCI based on single-source data obtained...

Rapid growth of computer network scales has made traffic matrix estimation essential in management. It can be used load balancing, detecting and so on. Since should considered temporally spatially, prediction is complicated. Tracking dynamic changes traffic, reducing errors increasing robustness to noise are factors which estimation. In this paper, we propose a novel method estimate matrix. This approach combines artificial neural evolutionary algorithms. uses autoregressive model with...

This article explores the use of single-channel single-trial EEG signals for natural control prosthetic hand grasp. It is in sense that desired movement what subject intends to do. The motor tasks be intended are imagination grasping and opening. For grasp control, discrimination resting state imagined voluntary important has been disregarded research area BCI. work provides a design discriminating task imagery. To date most researchers have designed test BCI system on normal subjects. In...

This paper presents a novel approach for efficient feature extraction using mutual information (MI). In terms of information, the optimal is creating set from data which jointly have largest dependency on target class. However, it not always easy to get an accurate estimation high-dimensional MI. this paper, we propose method based two-dimensional MI estimates. At each step, new created that attempts maximize between and class minimize redundancy. We will refer algorithm as Minimax-MIFX. The...

An important issue in designing a practical brain-computer interface (BCI) is the selection of mental tasks to be imagined. Different types have been used BCI including left, right, foot, and tongue motor imageries. However, are different from actions controlled by BCI. It desirable select task consistent with desired action performed In this paper, we investigated detecting imagination hand grasping, opening, reaching one using electroencephalographic (EEG) signals. The results show that...