EMG signals are electromyogram signals generated by firing of MUs (motor units) in muscle fibers. The decomposition of EMG signal of a muscle provides useful information for the diagnosis of neuro-muscular diseases by physician and neurologist. In decomposition of EMG signal different MUAPs (Motor Unit Action Potentials) are classified into different categories. This paper gives a review of dif...

BACKGROUND AND PURPOSE Functional MRI is a powerful tool to investigate recovery of brain function in patients with stroke. An inherent assumption in functional MRI data analysis is that the blood oxygenation level-dependent (BOLD) signal is stable over the course of the examination. In this study, we evaluated the validity of such assumption in patients with chronic stroke. METHODS Fifteen p...

This paper describes a closed loop model of a current controlled PMDC motor drive with PID Controller. The output speed of the PMDC motor is compared with a preset reference speed. The differences between these two signals are fed as an error signal to the PID controller of the system. The output of the speed controller is the actuating signal that controls the duty cycle of converter and hence...

Denervated muscle fibers produce spontaneous depolarizations termed fibrillation potentials. These potentials are an indicator of neuromuscular pathology and are detected by inserting a needle electrode into the muscle of interest to detect the time-based signal. A proposed noninvasive method measures the spectral energy corresponding to increased spontaneous muscle activity [1]. This paper exa...

In this study, a new approach to high-speed fMRI using multi-slab echo-volumar imaging (EVI) is developed that minimizes geometrical image distortion and spatial blurring, and enables nonaliased sampling of physiological signal fluctuation to increase BOLD sensitivity compared to conventional echo-planar imaging (EPI). Real-time fMRI using whole brain 4-slab EVI with 286 ms temporal resolution ...

objectives: the aim of this study was to determine the effect of perceptual-motor training on motor skills of normal preschool children (aged 4-6 years) in esfahan city. methods: this was a quasi-experimental study with intervention and control groups. each group included 30 normal preschool children aged 4 to 6 years. they were selected randomly children of intervention group one empowering ch...

BACKGROUND Obsessive-compulsive disorder (OCD) has been associated with impairments in stop-signal inhibition, a measure of motor response suppression. The study used a novel paradigm to examine both thought suppression and response inhibition in OCD, where the modulatory effects of stimuli relevant to OCD could also be assessed. Additionally, the study compared inhibitory impairments in OCD pa...

Rapid technological advances are affecting the greater use of electrical energy. One devices that can generate energy is a generator. Testing characteristics generator required drive motor to rotate shaft. This research aims create three-phase input power measurement system for driving motor. The method measuring by current and voltage each phase. obtained from multiplication between voltage. c...

OBJECT There is a growing interest in the use of recording from the surface of the brain, known as electrocorticography (ECoG), as a practical signal platform for brain-computer interface application. The signal has a combination of high signal quality and long-term stability that may be the ideal intermediate modality for future application. The research paradigm for studying ECoG signals uses...

The research proposed an alternative controller to control the Direct Current (DC) Motor using a sliding mode (SMC) in Matlab Simulink simulation and Arduino hardware implementation. controller, SMC, was designed system model (equivalent control) Lyapunov design (also prove stability). had better response than PID Controller, with no overshoot result. In implementation result, augmented could r...