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matlabs function trapz  (MathWorks Inc)


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    MathWorks Inc matlabs function trapz
    Matlabs Function Trapz, 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/matlab+trapz+function/pm40354132-73-9-7
    Average 90 stars, based on 1 article reviews
    matlabs function trapz - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Rodent and human seizures demonstrate a dynamic interplay with spreading depolarizations.
    Article Snippet: Seizure termination has been linked to spreading depolarizations (SDs) in experimental models of epilepsy, and SDs have been suggested to protect against seizures.. However, the precise mechanisms of seizure-associated SDs remain unclear.. Additionally, the co-occurrence of SDs with human seizures remains debated.

    Article Title: New ECG biomarkers and sex-stratified models for the detection of Arrhythmogenic Cardiomyopathy with left ventricular involvement
    Article Snippet: The area of each ECG lead’s pattern was extracted using trapezoidal numerical integration with Matlab’s trapz function.

    Article Title: Multi-technique computational assessment of fluoride uptake in enamel using PIGE, NEXAFS, and Raman spectroscopy.
    Article Snippet: Peak intensities were obtained using the MatLabs (MathWorks, USA) function trapz (trapezoidal numerical integration) that computes the approximate integral via the trapezoidal method.

    Article Title: Cadherin 4 assembles a family of color-preferring retinal circuits that respond to light offset.
    Article Snippet: Article Cadherin 4 assembles a fa mily of color-preferring retinal circuits that respond to light offset

    Article Title:
    Article Snippet: Numerical integration was performed using the trapz() function in MATLAB.

    Article Title: Drosophila epidermal cells are intrinsically mechanosensitive and modulate nociceptive behavioral outputs
    Article Snippet: The trapezoidal method was used to calculate area under the curve, utilizing the trapz function of MATLAB.

    Article Title: Region-specific nucleus accumbens dopamine signals encode distinct aspects of avoidance learning.
    Article Snippet: Area-under-the-curve (AUC) was calculated in MATLAB using the trapz function, with positive and negative values indicating that the AUC is above or below zero, respectively.

    Activity Assay:

    Article Title: Surrogate GPR139 Agonists Reverse Short‐Term Startle Habituation Impairment in Larval Zebrafish
    Article Snippet: .. Average activity was calculated by finding the area under the curve via the MATLAB (RRID:SCR_001622) trapz() function [ ]. ..



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    Rectified soleus electromyography (EMG) traces (mean of 30 repetitions) from a control participant illustrating the heteronymous excitation (blue area) and inhibition (red area) from femoral nerve (FN) stimulation (2 × motor threshold, MT) onto ongoing soleus (SOL) EMG. Onset and offset latencies for excitation and inhibition are marked with blue and red circles, respectively. The solid horizontal black line represents the mean SOL background EMG, while the dashed horizontal line indicates one standard deviation below the mean. FN stimulation involved a single square pulse of 1 ms duration, resulting in a stimulation artifact (dashed vertical line). Excitation and inhibition areas (depicted as shaded blue and red regions, respectively) were quantified <t>using</t> <t>MATLAB’s</t> <t>‘trapz’</t> function, referenced to the mean background EMG. The duration was determined from the onset and offset timepoints
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    Rectified soleus electromyography (EMG) traces (mean of 30 repetitions) from a control participant illustrating the heteronymous excitation (blue area) and inhibition (red area) from femoral nerve (FN) stimulation (2 × motor threshold, MT) onto ongoing soleus (SOL) EMG. Onset and offset latencies for excitation and inhibition are marked with blue and red circles, respectively. The solid horizontal black line represents the mean SOL background EMG, while the dashed horizontal line indicates one standard deviation below the mean. FN stimulation involved a single square pulse of 1 ms duration, resulting in a stimulation artifact (dashed vertical line). Excitation and inhibition areas (depicted as shaded blue and red regions, respectively) were quantified using MATLAB’s ‘trapz’ function, referenced to the mean background EMG. The duration was determined from the onset and offset timepoints

    Journal: Journal of NeuroEngineering and Rehabilitation

    Article Title: Heteronymous feedback from quadriceps onto soleus in stroke survivors

    doi: 10.1186/s12984-025-01572-5

    Figure Lengend Snippet: Rectified soleus electromyography (EMG) traces (mean of 30 repetitions) from a control participant illustrating the heteronymous excitation (blue area) and inhibition (red area) from femoral nerve (FN) stimulation (2 × motor threshold, MT) onto ongoing soleus (SOL) EMG. Onset and offset latencies for excitation and inhibition are marked with blue and red circles, respectively. The solid horizontal black line represents the mean SOL background EMG, while the dashed horizontal line indicates one standard deviation below the mean. FN stimulation involved a single square pulse of 1 ms duration, resulting in a stimulation artifact (dashed vertical line). Excitation and inhibition areas (depicted as shaded blue and red regions, respectively) were quantified using MATLAB’s ‘trapz’ function, referenced to the mean background EMG. The duration was determined from the onset and offset timepoints

    Article Snippet: Excitation and inhibition areas (depicted as shaded blue and red regions, respectively) were quantified using MATLAB’s ‘trapz’ function, referenced to the mean background EMG.

    Techniques: Control, Inhibition, Standard Deviation