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accelerometer data  (ActiGraph llc)

 
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    Structured Review

    ActiGraph llc accelerometer data
    Characteristics of the study sample ( n = 1,106) distributed on inflammation level calculated by high sensitive C-reactive protein (hsCRP). Mean values with standard deviation (±SD) or number of participants with prevalence are presented.
    Accelerometer Data, 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/accelerometer+data/pmc10447179-142-2-5?v=ActiGraph+llc
    Average 90 stars, based on 1 article reviews
    accelerometer data - by Bioz Stars, 2026-08
    90/100 stars

    Images

    1) Product Images from "The association between physical activity, low-grade inflammation, and labour market attachment among people with multimorbidity: A cross-sectional study from the Lolland-Falster Health Study, Denmark"

    Article Title: The association between physical activity, low-grade inflammation, and labour market attachment among people with multimorbidity: A cross-sectional study from the Lolland-Falster Health Study, Denmark

    Journal: Journal of Multimorbidity and Comorbidity

    doi: 10.1177/26335565231195510

    Characteristics of the study sample ( n = 1,106) distributed on inflammation level calculated by high sensitive C-reactive protein (hsCRP). Mean values with standard deviation (±SD) or number of participants with prevalence are presented.
    Figure Legend Snippet: Characteristics of the study sample ( n = 1,106) distributed on inflammation level calculated by high sensitive C-reactive protein (hsCRP). Mean values with standard deviation (±SD) or number of participants with prevalence are presented.

    Techniques Used: Standard Deviation, Activity Assay



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    Image Search Results


    Devices used in the study: A wearable camera was used to provide visual confirmation of human behavior performed in the wild. We utilized the smartwatch tri-axial accelerometer and gyroscope to estimate energy expenditure using our proposed algorithm and compared it against multiple algorithms , , , , – using the hip-worn ActiGraph.

    Journal: Scientific Reports

    Article Title: Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables

    doi: 10.1038/s41598-025-99963-0

    Figure Lengend Snippet: Devices used in the study: A wearable camera was used to provide visual confirmation of human behavior performed in the wild. We utilized the smartwatch tri-axial accelerometer and gyroscope to estimate energy expenditure using our proposed algorithm and compared it against multiple algorithms , , , , – using the hip-worn ActiGraph.

    Article Snippet: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$K_m$$\end{document} motion estimates of accelerometer data segments are calculated by the Panasonic equation and aggregated based on the selected window size (Eq.).

    Techniques: