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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+trapz+function/pm40640153-355-3-36
    Average 90 stars, based on 1 article reviews
    matlab function trapz - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Identification of Nonlinear Aeroelastic Systems Based on the Volterra Theory: Progress and Opportunities
    Article Snippet: The identification of nonlinear aeroelastic systems based on the Volterra theory of nonlinear systems is presented.. Recent applications of the theory to problems in computational and experimental aeroelasticity are reviewed.. Computational results include the development of computationally efficient reduced-order models (ROMs) using an Euler/Navier–Stokes flow solver and the analytical derivation of Volterra kernels for a nonlinear aeroelastic system.

    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.

    Article Title: Continuous head motion is a greater motor control challenge than transient head motion in patients with loss of vestibular function
    Article Snippet: We also computed the power spectral densities of angular head velocity during each exercise using Welch’s averaged periodogram with a Bartlett window (2048ms duration, 50% overlap) and 0.1Hz frequency resolution (Pwelch function, MATLAB, 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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    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