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In this paper, an approach for increasing the sustainability of inverter-based memristive neuromorphic circuits in the presence of process variation is presented. The approach works based on extracting the impact of process variations on the neurons characteristics during the test phase through a proposed algorithm. In this method, first, some combinations of inputs and weights (based on the neuromorphic...
Detection of the most interesting region in an image has become an important subject in computer vision. Bottom-up model detects regions that differ with respect to their surrounding ones. These regions are known as salient regions. In this paper, we propose a new bottom-up model for saliency detection using the color of background regions. In the model, first, the image is segmented into superpixels...
Movement classification has been a challenging problem in neuroprosthesis control. Many studies have taken into account the classification of movement using time and frequency domain features extracted from the electromyogram signals while calculating these features are usually time consuming. In this paper, we compared the capability of muscle activation waveform in the classification of five arm...
Different pieces of software can be used to simulate virtual movements, such as SIMM-SD/Fast or LifeModAdams. Complexities of using multiple pieces of software and lack of enough knowledge of their concepts to use them professionally has made it inevitable for most researchers to use common and helpful software, MATLAB/SIMULINK. In recent years the use of virtual reality in reaching movement in order...
The production of movement in vertebrate species requisites their nervous system to deal with a high degree of freedom. The strategy that the central nervous system (CNS) recruits to overcome this barrier has been a longstanding question among researchers. A hypothesis that sheds light on this motor control problem is that the CNS uses a modular organization to simplify the task and generate a purposeful...
Classification of postures and movements of distal limbs based on surface electromyography (sEMG) of proximal muscles is necessary in myoelectric hand prostheses. With increasing the number of movements, classification problem becomes a serious challenge. In this paper, we have used NINAPRO database that contains sEMG and kinematic data of upper limbs while performing 52 hand postures and movements...
This paper presents a fuzzy logic simulation and modeling a controller for an isolated signalized intersection. The idea is used in this system is to minimize the vehicles queue length with minimal waiting time in according to minimize extension of green light time to ensure smooth flow of traffic. A minimum time for the green light has been assumed. The optimum extension of green time is the output...
In this study, a hybrid PID-like fuzzy logic controller (FLC) is proposed to drive switched reluctance motor (SRM) that consists of a PI fuzzy logic controller and a derivative part. In fact, the output is the sum of a PI fuzzy logic controller and a derivative operator of the error signal. The Mamdani type is used for the fuzzy inference system and the defuzzification type is bisector. The simulation...
Electromyogram (EMG) is used in different applications such as diagnosis and treatment of diseases. Recorded EMG signals from upper trunk muscles are contaminated by electrocardiogram (ECG). Removal of the ECG artifact from surface EMG is not simple because their frequency content is much overlap. In this paper, we compare the results of adaptive Neuro fuzzy inference system (ANFIS) and real time...
Surface electromyograms (EMGs) are valuable in the pathophysiological study and clinical treatment. These recordings are critically often contaminated by cardiac artifact. The purpose of this article was to evaluate the performance of an adaptive filter and artificial neural network (ANN) in removing electrocardiogram (ECG) contamination from surface EMGs recorded from the pectoralismajor muscles...
Functional electrical stimulation (FES) systems restore motor functions after spinal cord injury (SCI). In this study, we used a model consists of a joint, two links with one degree of freedom, and two muscles as flexor and extensor of the joint, which simulated in MATLAB using SimMechanics and Simulink Toolboxes. The muscle model is based on Zajac musculotendon actuator and composed of a nonlinear...
Functional electrical stimulation (FES) is the most commonly used system for restoring functions after spinal cord injury (SCI). In this study, we used a combined feedforward-feedback PID controller for regulating the elbow joint angle. Feedforward controller is unable to make corrections if the actual angle deviates from the desired angle. Feedback controller monitors the system output, so it can...
This paper presents a closed-loop control system for regulating blood glucose level in type-1 diabetic patients. The goals of designing controller are 1. avoidance of hypoglycemia (blood glucose concentrations should be above 3mmol/l) and 2. reduction in the blood glucose level (average blood glucose should be less than 7mmol/l) in diabetic patients. An intensive therapy for these patients is described...
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