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monoexponential model  (SYSTAT)


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    SYSTAT monoexponential model
    Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a <t>monoexponential</t> model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.
    Monoexponential Model, supplied by SYSTAT, 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/result/monoexponential model/product/SYSTAT
    Average 90 stars, based on 1 article reviews
    monoexponential model - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Cerebral blood flow dynamics: Is there more to the story at exercise onset?"

    Article Title: Cerebral blood flow dynamics: Is there more to the story at exercise onset?

    Journal: Physiological Reports

    doi: 10.14814/phy2.15735

    Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a monoexponential model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.
    Figure Legend Snippet: Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a monoexponential model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.

    Techniques Used:



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    monoexponential model  (SYSTAT)
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    SYSTAT monoexponential model
    Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a <t>monoexponential</t> model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.
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    Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a <t>monoexponential</t> model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.
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    Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a <t>monoexponential</t> model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.
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    Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a <t>monoexponential</t> model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.
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    Image Search Results


    Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a monoexponential model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.

    Journal: Physiological Reports

    Article Title: Cerebral blood flow dynamics: Is there more to the story at exercise onset?

    doi: 10.14814/phy2.15735

    Figure Lengend Snippet: Change from rest (set to 0) to immediate 50 W cycling exercise for middle cerebral artery blood velocity (MCAv; a), cerebral perfusion pressure (CPP; b), cerebrovascular conductance index (CVCi; c), and end‐tidal CO 2 (EtCO 2 ; d). Exercise start is indicated by the vertical dashed lines. All data sets presented are averaged 3‐s bins and from representative subjects. Solid line on graph A represents best fit using a monoexponential model. Adjusted R 2 ( R a 2 ) = 0.61 ± 0.14. Standard Error of Regression (S) = 3.74 ± 0.91.

    Article Snippet: The rest‐to‐exercise MCAv transition data were fit with a monoexponential model using SigmaPlot 12.5 (Systat Software, Inc.) as previous research has shown (Billinger et al., ; Witte et al., ).

    Techniques: