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movmean command  (MathWorks Inc)


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    MathWorks Inc movmean command
    Movmean Command, 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/movmean+command/10__1007_slash_s12237___024___01447___3-118-23-20
    Average 90 stars, based on 1 article reviews
    movmean command - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Persistent instability in a nonhomogeneous delay differential equation system of the Valsalva maneuver.
    Article Snippet: Since the forcing functions use blood pressure data as an input, we ensure smoothness by filtering the data using the movmean command in MATLAB with a window of one second.

    Extraction:

    Article Title: Seasonal and Spatial Variability of Absorption Properties in Cartagena Bay’s Complex Waters
    Article Snippet: .. The protocols defined by the manufacturer were followed for extraction, and then the data were analyzed with adjustments made in MATLAB using the movmean command, as the CTD system acquires raw data from both upcast and downcast measurements. ..



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    MathWorks Inc movmean command in matlab 2018a
    Thoracic pressure (Pth) input schematic. QRS-complexes are detected in the electrocardiogram (ECG, mV) trace (A). Amplitudes of consecutive QRS-complexes are interpolated using a piecewise cubic Hermite interpolating polynomial. This signal is filtered to produce the respiration signal (B), which is in turn scaled linearly given in Eq. 5. The intrathoracic pressure (ITP, mmHg) trace (C) is combined with the scaled respiration curve and filtered using the “movmean” command in MATLAB <t>2018a</t> to produce Pth (D).
    Movmean Command In Matlab 2018a, 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
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    Thoracic pressure (Pth) input schematic. QRS-complexes are detected in the electrocardiogram (ECG, mV) trace (A). Amplitudes of consecutive QRS-complexes are interpolated using a piecewise cubic Hermite interpolating polynomial. This signal is filtered to produce the respiration signal (B), which is in turn scaled linearly given in Eq. 5. The intrathoracic pressure (ITP, mmHg) trace (C) is combined with the scaled respiration curve and filtered using the “movmean” command in MATLAB 2018a to produce Pth (D).

    Journal: Journal of Applied Physiology

    Article Title: A model-based analysis of autonomic nervous function in response to the Valsalva maneuver

    doi: 10.1152/japplphysiol.00015.2019

    Figure Lengend Snippet: Thoracic pressure (Pth) input schematic. QRS-complexes are detected in the electrocardiogram (ECG, mV) trace (A). Amplitudes of consecutive QRS-complexes are interpolated using a piecewise cubic Hermite interpolating polynomial. This signal is filtered to produce the respiration signal (B), which is in turn scaled linearly given in Eq. 5. The intrathoracic pressure (ITP, mmHg) trace (C) is combined with the scaled respiration curve and filtered using the “movmean” command in MATLAB 2018a to produce Pth (D).

    Article Snippet: The intrathoracic pressure (ITP, mmHg) trace ( C ) is combined with the scaled respiration curve and filtered using the “movmean” command in MATLAB 2018a to produce P th ( D ).

    Techniques: