A method of induction motor diagnostics based on the analysis of three-phase instantaneous power spectra has been offered. Its implementation requires recalculation of induction motor voltages, aiming at exclusion from induction motor instantaneous three-phase power signal the component caused by supply mains dissymmetry and unsinusoidality. The recalculation is made according to the motor know...

Electromyographic (EMG) signal decomposition is the process of resolving an EMG signal into its constituent motor unit potential trains (MUPTs). The purpose of EMG signal decomposition is to provide an estimate of the firing pattern and motor unit potential (MUP) template of each active motor unit (MU) that contributed significant MUPs to the EMG signal. The extracted MU firing patterns, MUP te...

Nanopore DNA sequencing is a promising single-molecule analysis technology. This technique relies on a DNA motor enzyme to control movement of DNA precisely through a nanopore. Specific experimental buffer conditions are required based on the preferred operating conditions of the DNA motor enzyme. While many DNA motor enzymes typically operate in salt concentrations under 100 mM, salt concentra...

Motor control is integral to all types of human behavior, and the dorsal Anterior Cingulate Cortex (dACC) is thought to play an important role in the brain network underlying motor control. Yet the role of the dACC in motor control is under-characterized. Here we aimed to characterize the dACC's role in adolescent brain network interactions during a simple motor control task involving visually ...

Current models of decision making postulate that action selection entails a competition within motor-related areas. According to this view, during action selection, motor activity should integrate cognitive information (e.g., reward) that drives our decisions. We tested this hypothesis in humans by measuring motor-evoked potentials (MEPs) in a left finger muscle during motor preparation in a ha...

Inhibitory control enables humans to stop prepotent motor activity, and is commonly studied using go/no-go or stop-signal tasks. In stop-signal tasks, prepotent motor activity is elicited by delaying stop signals relative to go signals. In go/no-go tasks, however, trials include only one signal-go or no-go. Hence, prepotent motor activity has to be ensured differently-for example, by using rare...

20 Neural systems that control movement maintain accuracy by adaptively altering motor 21 commands in response to errors. It is often assumed that the error signal that drives adaptation is 22 equivalent to the sensory error observed at the conclusion of a movement; for saccades, this is 23 typically the visual (retinal) error. However, we instead propose that the adaptation error signal 24 is ...

The main objective of this paper is to present a position control design DC-motor, where the set-point externally supplied. controller conceived by using vibrational theory and implemented just processing time derivative Hall-effect sensor signal. Vibrational robust against model uncertainties. Hence, for design, simple mathematical DC-Motor invoked. Then, realized utilizing analog electronics ...

Neural systems that control movement maintain accuracy by adaptively altering motor commands in response to errors. It is often assumed that the error signal that drives adaptation is equivalent to the sensory error observed at the conclusion of a movement; for saccades, this is typically the visual (retinal) error. However, we instead propose that the adaptation error signal is derived as the ...

Detecting a user's intentions is critical in human-computer interactions. Recently, brain-computer interfaces (BCIs) have been extensively studied to facilitate more accurate detection and prediction of the intentions. Specifically, various deep learning approaches applied BCIs for decoding intent from motor-imagery electroencephalography (EEG) signals. However, their ability capture important ...