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MNE-Python ("MNE") is an open source toolbox for EEG and MEG signal processing. [1] It is written in Python and is available from the PyPI package repository. [ 2 ]
The parameters are Activity, Mobility, and Complexity. They are commonly used in the analysis of electroencephalography signals for feature extraction. The parameters are normalised slope descriptors (NSDs) used in EEG.
External or with the Scilab/Matlab/Python interface. Possibility to perform complex slices. External (export to .vtk/.vtu and many others) ElmerGUI comes VTK based visualization tool (but Paraview is recommended) Yes, VTK-based GUI, Python visualizatuion library Buil-in simple plotting + External Built-in with optional Plotly and GMV export
MS-alone and multiMS-toolbox is a tool chain for mass spectrometry data peak extraction and statistical analysis. mzCloud Website: Web-based mass spectral database that comprises a collection of high and low resolution tandem mass spectrometry data acquired under a number of experimental conditions. MZmine Open source
Intraoperative neurophysiological monitoring (IONM) or intraoperative neuromonitoring is the use of electrophysiological methods such as electroencephalography (EEG), electromyography (EMG), and evoked potentials to monitor the functional integrity of certain neural structures (e.g., nerves, spinal cord and parts of the brain) during surgery.
PTB-3 is based on the Psychophysics Toolbox Version 2 (PTB-2) but its MATLAB extensions (in C) were rewritten to be more modular and use OpenGL. Psychtoolbox is offered alongside many alternative toolboxes for programming Psychophysics and Psychology experiments, such as PsychoPy for Python or jsPsych for JavaScript. [citation needed]
In probability theory, an exponentially modified Gaussian distribution (EMG, also known as exGaussian distribution) describes the sum of independent normal and exponential random variables. An exGaussian random variable Z may be expressed as Z = X + Y , where X and Y are independent, X is Gaussian with mean μ and variance σ 2 , and Y is ...
In contrast to other common transforms like the Fourier transform, the HHT is an algorithm that can be applied to a data set, rather than a theoretical tool. The Hilbert–Huang transform (HHT), a NASA designated name, [ 1 ] was proposed by Norden E. Huang et al. (1996, 1998, 1999, 2003, 2012).