A control system is a configuration of physical components connected or arranged to regulate, manage, or command the behavior of other systems. In engineering, mathematical modeling is essential for ...

Poststroke cognitive impairment (PSCI) affects 30% to 50% of stroke survivors, severely impacting functional outcomes and quality of life. This study uses functional near-infrared spectroscopy (fNIRS) ...

Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. To accurately assess the ...

WindowData() is a new function that allows users to segment data (univariate or multivariate time series) into windows with/without overlapping samples! This allows users to calculate entropy on ...

This function uses an algorithm given in the paper "Numerical Computation of Multivariate Normal Probabilities", in J. of Computational and Graphical Stat., 1(1992), pp. 141-149, by Alan Genz, WSU ...

Vibrational spectroscopy comprises label-free techniques that allow one to detect electronic changes in the internal vibrational energy levels of biomolecules. Biomolecules that contain chemical bonds ...

Abstract: In this paper, an extended version of the FOTF Toolbox is presented which can be used to handle multivariable fractional-order transfer function matrices. A good interface is provided on top ...

Abstract: This paper presents an efficient implementation of multivariate empirical mode decomposition (MEMD) algorithm, a multivariate extension of EMD algorithm. Analogous to EMD, MEMD decomposes a ...

The primary electrophysiological marker of feature-based selection is the N2pc, a lateralized posterior negativity emerging around 180–200 ms. As it relies on hemispheric differences, its ability to ...

Understanding how brains process sensory signals in natural environments is one of the key goals of twenty-first century neuroscience. While brain imaging and invasive electrophysiology will play key ...