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accelerometer actiheart x-axis  (ActiGraph llc)

 
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    Structured Review

    ActiGraph llc accelerometer actiheart x-axis
    A Bland-Altman plots evaluating the prediction of energy expenditure by cross-sectional time series models (CSTS) and multivariate adaptive regression splines (MARS) models using <t>Actiheart</t> and ActiGraph devices versus energy expenditure measured by room respiration calorimetry (n=50). The mean difference between measured EE and predicted EE is plotted against the mean of the two methods; the mean bias is shown by a solid line and the 95% limits of agreement are shown by dash lines.
    Accelerometer Actiheart X Axis, supplied by ActiGraph llc, 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/actiheart+x-axis/pmc04010568-314-99-102?v=ActiGraph+llc
    Average 90 stars, based on 1 article reviews
    accelerometer actiheart x-axis - by Bioz Stars, 2026-08
    90/100 stars

    Images

    1) Product Images from "Prediction of Energy Expenditure and Physical Activity in Preschoolers"

    Article Title: Prediction of Energy Expenditure and Physical Activity in Preschoolers

    Journal: Medicine and science in sports and exercise

    doi: 10.1249/MSS.0000000000000209

    A Bland-Altman plots evaluating the prediction of energy expenditure by cross-sectional time series models (CSTS) and multivariate adaptive regression splines (MARS) models using Actiheart and ActiGraph devices versus energy expenditure measured by room respiration calorimetry (n=50). The mean difference between measured EE and predicted EE is plotted against the mean of the two methods; the mean bias is shown by a solid line and the 95% limits of agreement are shown by dash lines.
    Figure Legend Snippet: A Bland-Altman plots evaluating the prediction of energy expenditure by cross-sectional time series models (CSTS) and multivariate adaptive regression splines (MARS) models using Actiheart and ActiGraph devices versus energy expenditure measured by room respiration calorimetry (n=50). The mean difference between measured EE and predicted EE is plotted against the mean of the two methods; the mean bias is shown by a solid line and the 95% limits of agreement are shown by dash lines.

    Techniques Used:

    Smoothing splines curve fitting used to define activity energy expenditure (AEE) levels for sedentary, light, moderate and vigorous physical activity in preschool-aged children from heart rate thresholds (A); smoothing splines curve fitting applied to the AEE and accelerometer counts to identify accelerometer cut-points for Actiheart x-axis (B), ActiGraph vector magnitude (C), and ActiGraph x-axis (D).
    Figure Legend Snippet: Smoothing splines curve fitting used to define activity energy expenditure (AEE) levels for sedentary, light, moderate and vigorous physical activity in preschool-aged children from heart rate thresholds (A); smoothing splines curve fitting applied to the AEE and accelerometer counts to identify accelerometer cut-points for Actiheart x-axis (B), ActiGraph vector magnitude (C), and ActiGraph x-axis (D).

    Techniques Used: Activity Assay, Plasmid Preparation



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    A Bland-Altman plots evaluating the prediction of energy expenditure by cross-sectional time series models (CSTS) and multivariate adaptive regression splines (MARS) models using <t>Actiheart</t> and ActiGraph devices versus energy expenditure measured by room respiration calorimetry (n=50). The mean difference between measured EE and predicted EE is plotted against the mean of the two methods; the mean bias is shown by a solid line and the 95% limits of agreement are shown by dash lines.
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    Image Search Results


    A Bland-Altman plots evaluating the prediction of energy expenditure by cross-sectional time series models (CSTS) and multivariate adaptive regression splines (MARS) models using Actiheart and ActiGraph devices versus energy expenditure measured by room respiration calorimetry (n=50). The mean difference between measured EE and predicted EE is plotted against the mean of the two methods; the mean bias is shown by a solid line and the 95% limits of agreement are shown by dash lines.

    Journal: Medicine and science in sports and exercise

    Article Title: Prediction of Energy Expenditure and Physical Activity in Preschoolers

    doi: 10.1249/MSS.0000000000000209

    Figure Lengend Snippet: A Bland-Altman plots evaluating the prediction of energy expenditure by cross-sectional time series models (CSTS) and multivariate adaptive regression splines (MARS) models using Actiheart and ActiGraph devices versus energy expenditure measured by room respiration calorimetry (n=50). The mean difference between measured EE and predicted EE is plotted against the mean of the two methods; the mean bias is shown by a solid line and the 95% limits of agreement are shown by dash lines.

    Article Snippet: Different combinations of cut-points based on the smoothing splines and ROC results were tried and the majority vote was used to determine the best classifier (i.e., the cut-point combination that provided the highest correct classification rate from the confusion matrix). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Smoothing splines curve fitting used to define activity energy expenditure (AEE) levels for sedentary, light, moderate and vigorous physical activity in preschool-aged children from heart rate thresholds (A); smoothing splines curve fitting applied to the AEE and accelerometer counts to identify accelerometer cut-points for Actiheart x-axis (B), ActiGraph vector magnitude (C), and ActiGraph x-axis (D).

    Techniques:

    Smoothing splines curve fitting used to define activity energy expenditure (AEE) levels for sedentary, light, moderate and vigorous physical activity in preschool-aged children from heart rate thresholds (A); smoothing splines curve fitting applied to the AEE and accelerometer counts to identify accelerometer cut-points for Actiheart x-axis (B), ActiGraph vector magnitude (C), and ActiGraph x-axis (D).

    Journal: Medicine and science in sports and exercise

    Article Title: Prediction of Energy Expenditure and Physical Activity in Preschoolers

    doi: 10.1249/MSS.0000000000000209

    Figure Lengend Snippet: Smoothing splines curve fitting used to define activity energy expenditure (AEE) levels for sedentary, light, moderate and vigorous physical activity in preschool-aged children from heart rate thresholds (A); smoothing splines curve fitting applied to the AEE and accelerometer counts to identify accelerometer cut-points for Actiheart x-axis (B), ActiGraph vector magnitude (C), and ActiGraph x-axis (D).

    Article Snippet: Different combinations of cut-points based on the smoothing splines and ROC results were tried and the majority vote was used to determine the best classifier (i.e., the cut-point combination that provided the highest correct classification rate from the confusion matrix). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Smoothing splines curve fitting used to define activity energy expenditure (AEE) levels for sedentary, light, moderate and vigorous physical activity in preschool-aged children from heart rate thresholds (A); smoothing splines curve fitting applied to the AEE and accelerometer counts to identify accelerometer cut-points for Actiheart x-axis (B), ActiGraph vector magnitude (C), and ActiGraph x-axis (D).

    Techniques: Activity Assay, Plasmid Preparation

    A Bland-Altman plots evaluating the prediction of energy expenditure by cross-sectional time series models (CSTS) and multivariate adaptive regression splines (MARS) models using Actiheart and ActiGraph devices versus energy expenditure measured by room respiration calorimetry (n=50). The mean difference between measured EE and predicted EE is plotted against the mean of the two methods; the mean bias is shown by a solid line and the 95% limits of agreement are shown by dash lines.

    Journal: Medicine and science in sports and exercise

    Article Title: Prediction of Energy Expenditure and Physical Activity in Preschoolers

    doi: 10.1249/MSS.0000000000000209

    Figure Lengend Snippet: A Bland-Altman plots evaluating the prediction of energy expenditure by cross-sectional time series models (CSTS) and multivariate adaptive regression splines (MARS) models using Actiheart and ActiGraph devices versus energy expenditure measured by room respiration calorimetry (n=50). The mean difference between measured EE and predicted EE is plotted against the mean of the two methods; the mean bias is shown by a solid line and the 95% limits of agreement are shown by dash lines.

    Article Snippet: Applying the AEE thresholds, the following initial accelerometer cut-points were determined using smoothing splines: 36, 449, 1,297 cpm for Actiheart x-axis; 610, 3,908, 6,112 cpm for ActiGraph vector magnitude; and 110, 2,120, 4,450 cpm for ActiGraph x-axis.

    Techniques:

    Smoothing splines curve fitting used to define activity energy expenditure (AEE) levels for sedentary, light, moderate and vigorous physical activity in preschool-aged children from heart rate thresholds (A); smoothing splines curve fitting applied to the AEE and accelerometer counts to identify accelerometer cut-points for Actiheart x-axis (B), ActiGraph vector magnitude (C), and ActiGraph x-axis (D).

    Journal: Medicine and science in sports and exercise

    Article Title: Prediction of Energy Expenditure and Physical Activity in Preschoolers

    doi: 10.1249/MSS.0000000000000209

    Figure Lengend Snippet: Smoothing splines curve fitting used to define activity energy expenditure (AEE) levels for sedentary, light, moderate and vigorous physical activity in preschool-aged children from heart rate thresholds (A); smoothing splines curve fitting applied to the AEE and accelerometer counts to identify accelerometer cut-points for Actiheart x-axis (B), ActiGraph vector magnitude (C), and ActiGraph x-axis (D).

    Article Snippet: Applying the AEE thresholds, the following initial accelerometer cut-points were determined using smoothing splines: 36, 449, 1,297 cpm for Actiheart x-axis; 610, 3,908, 6,112 cpm for ActiGraph vector magnitude; and 110, 2,120, 4,450 cpm for ActiGraph x-axis.

    Techniques: Activity Assay, Plasmid Preparation