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matlab function trapz  (MathWorks Inc)


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    MathWorks Inc matlab function trapz
    Matlab 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+function+trapz/pm40640153-355-3-36
    Average 90 stars, based on 1 article reviews
    matlab function trapz - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Ultrasound normalized cumulative residual entropy imaging: Theory, methodology, and application.
    Article Snippet: Background and Objective: Ultrasound information entropy imaging is an emerging quantitative ultrasound technique for characterizing local tissue scatterer concentrations and arrangements.. However, the commonly used ultrasound Shannon entropy imaging based on histogram-derived discrete probability estimation suffers from the drawbacks of histogram settings dependence and unknown estimator performance.. In this paper, we introduced the information-theoretic cumulative residual entropy (CRE) defined in a continuous distribution of cumulative distribution functions as a new entropy measure of ultrasound backscatter envelope uncertainty or complexity, and proposed ultrasound CRE imaging for tissue characterization.

    Article Title: Region-specific nucleus accumbens dopamine signals encode distinct aspects of avoidance learning.
    Article Snippet: To compare the amplitude of the response to the cue preceding shock avoidance and escape, we calculated the area under the curve for the estimated kernels excluding the 2 second baseline period using the MATLAB function trapz.

    Article Title: Practicality meets precision: Wearable vest with integrated multi-channel PCG sensors for effective coronary artery disease pre-screening.
    Article Snippet: The MATLAB function trapz was employed to calculate the average power within each band, which served as features in the classification model.

    Article Title: Interpretable Fine-Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep Learning.
    Article Snippet: De-Noising the Samples by Empirical Mode Decomposition: For each registered sample, the edge displacement was calculated from the edge velocity using the Matlab function trapz().

    Article Title: A reduced ability to discriminate social from non-social touch at the circuit level may underlie social avoidance in autism
    Article Snippet: An ROC curve was obtained by varying the criterion value for the DV, and the area under the ROC (auROC) was calculated from the ROC curve using the MATLAB function trapz .

    Article Title: Interpretable Fine‐Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep Learning
    Article Snippet: For each registered sample, the edge displacement was calculated from the edge velocity using the Matlab function trapz() .

    Article Title: Long-term consistency of aperiodic and periodic physiomarkers in subthalamic local field potentials in Parkinson's disease.
    Article Snippet: Due to the frequency resolution of 0.67 Hz used to obtain the PSDs, the current study used a 4 Hz bandwidth (unlike the 5 Hz used by the PerceptTM neurostimulator) to calculate beta peak power (using MATLAB function trapz), thereby capturing an equal number of frequency bins on either side of the selected frequency.

    Produced:

    Article Title: Enabling SENSE accelerated 2D CSI for hyperpolarized carbon-13 imaging
    Article Snippet: .. Metabolite signals were extracted from the spectra using the MATLAB function trapz , which produced the approximate integral of the signal via the trapezoidal method with unit spacing. .. Subsequent image reconstructions used sodium sensitivity and carbon images with a 2D SENSE algorithm in MATLAB (R2023b, Mathworks).



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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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    Image Search Results


    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