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graphical user interface (gui) 2017b  (MathWorks Inc)


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    Structured Review

    MathWorks Inc graphical user interface (gui) 2017b
    Visual detection <t>GUI</t> with the cursor displayed which allowed participants to select the onset location of five bursts <t>of</t> <t>SIM</t> EMG signals.
    Graphical User Interface (Gui) 2017b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/graphical+user+interface+(gui)+2017b/pmc08395734-64-3-2
    Average 90 stars, based on 1 article reviews
    graphical user interface (gui) 2017b - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Comparing the Accuracy of Visual and Computerized Onset Detection Methods on Simulated Electromyography Signals with Varying Signal-to-Noise Ratios"

    Article Title: Comparing the Accuracy of Visual and Computerized Onset Detection Methods on Simulated Electromyography Signals with Varying Signal-to-Noise Ratios

    Journal: Journal of Functional Morphology and Kinesiology

    doi: 10.3390/jfmk6030070

    Visual detection GUI with the cursor displayed which allowed participants to select the onset location of five bursts of SIM EMG signals.
    Figure Legend Snippet: Visual detection GUI with the cursor displayed which allowed participants to select the onset location of five bursts of SIM EMG signals.

    Techniques Used:

    Related Articles

    other:

    Article Title: Stimulus-specific and adaptive value representations in the basolateral amygdala in male mice.
    Article Snippet: Statistical analyses and data presentation Statistical analysis was performed with Matlab 2017b and Matlab 2022a (Mathworks).

    Article Title: Stimulus-specific and adaptive value representations in the basolateral amygdala in male mice
    Article Snippet: Statistical analysis was performed with Matlab 2017b and Matlab 2022a (Mathworks).

    Article Title: Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.
    Article Snippet: The extracted features were 1) maximum, 2) range (i.e., amplitude difference between maximum and minimum signal values), 3) signal to noise ratio, 4) peak time, 5) skewness, 6) kurtosis, 7) variance, 8) median, 9) root mean square, 10) area under the curve and step response characteristics obtained with ‘stepinfo’ function implemented in MATLAB 2017B (The Mathworks Inc., Natick, MA, USA) which included 11) rise time, 12) settling time, 13) settling min, 14) settling max and 15–20) coefficients of a fifth-degree polynomial which was fitted to each channel and stimulus specific truncated time series HbO data.

    Article Title: Interoception vs. Exteroception: Cardiac interoception competes with tactile perception, yet also facilitates self-relevance encoding
    Article Snippet: The task was presented with Matlab 2017b ( ) using the Psychtoolbox , running on a MacBook Air stimulation laptop.

    Article Title: Stimulus-specific and adaptive value representations in the basolateral amygdala in male mice.
    Article Snippet: All analysis of calcium data was performed on deconvolved traces (variable C_dec) extracted through CNMF and performed using Matlab 2017b (Mathworks, code available on Github).

    Article Title: A comprehensive study of template-based frequency detection methods in SSVEP-based brain-computer interfaces.
    Article Snippet: Recently, SSVEP-based brain–computer interfaces (BCIs) have received increasing attention from researchers due to their high signal-to-noise ratios (SNR), high information transfer rates (ITR), and low user training.. Therefore, various methods have been proposed to recognize the frequency of SSVEPs.. This paper reviewed the state-of-the-art frequency detection methods in SSVEP-based BCIs.

    Article Title: Distinct neural bases of subcomponents of the attentional blink
    Article Snippet: Stimulus presentation and data acquisition were programmed with Psychtoolbox ( ) and MATLAB 2017b MathWorks Inc (2017), (Natick, MA.).

    Article Title: Stimulus-specific and adaptive value representations in the basolateral amygdala in male mice
    Article Snippet: The mice were then perfused transcardially with 0.1 M phosphate-buffered saline (PBS, pH 7.4) for 2 min followed by 4% paraformaldehyde in PBS for 40 min. Then, the brains were removed from the skull and cut into 80 or 100 μm coronal slices using a vibratome (VT1000S).



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    MathWorks Inc graphical user interface (gui) 2017b
    Visual detection <t>GUI</t> with the cursor displayed which allowed participants to select the onset location of five bursts <t>of</t> <t>SIM</t> EMG signals.
    Graphical User Interface (Gui) 2017b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/graphical+user+interface+(gui)+2017b/pmc08395734-64-3-2
    Average 90 stars, based on 1 article reviews
    graphical user interface (gui) 2017b - by Bioz Stars, 2026-10
    90/100 stars
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    Visual detection GUI with the cursor displayed which allowed participants to select the onset location of five bursts of SIM EMG signals.

    Journal: Journal of Functional Morphology and Kinesiology

    Article Title: Comparing the Accuracy of Visual and Computerized Onset Detection Methods on Simulated Electromyography Signals with Varying Signal-to-Noise Ratios

    doi: 10.3390/jfmk6030070

    Figure Lengend Snippet: Visual detection GUI with the cursor displayed which allowed participants to select the onset location of five bursts of SIM EMG signals.

    Article Snippet: A custom-made Matlab graphical user interface (GUI) (2017b, Natick, MA, USA) was created which presented eight SIM EMG signals in a random order and required the participants to self-select the onset location of five bursts for each signal ( ).

    Techniques: