Journal: PLoS ONE

Article Title: Objectively measured physical activity levels and adherence to physical activity guidelines in people with multimorbidity—A systematic review and meta-analysis

doi: 10.1371/journal.pone.0274846

Figure Lengend Snippet: Physical activity measurements in the included studies.

Article Snippet: Whipple 2020 , Triaxial accelerometer (14 days) , Actigraph wGT3X-BT , Wrist (non-dominant hand) , ≥10 hours , 5 , Minutes , SB : 473 (101.3) .

Techniques: Activity Assay, Control

Journal: NPJ Digital Medicine

Article Title: CARE as a wearable derived feature linking circadian amplitude to human cognitive functions

doi: 10.1038/s41746-023-00865-0

Figure Lengend Snippet: a Actogram to show 7 days of wrist accelerometer activity of a single participant. b A visual representation of the raw activity signal and the singular spectrum analysis (SSA) decomposed signals, including the base signal (i.e., the first sub-signal indicating the non-periodic trend with the largest energy among all sub-signals), the 24-h signal, and the behavioral noise signal (i.e., sum of the sub-signals with periods <24 h). We can obtain the raw activity signal by adding these three signals together. c The graphical display of SSA algorithm. Specifically, the activity time series \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\rm{X}}}_{N}$$\end{document} X N of length N could be decomposed using SSA as follows. First, we chose an appropriate window length L such that \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2\le L\le \frac{N}{2}$$\end{document} 2 ≤ L ≤ N 2 . Then, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\rm{X}}}_{N}$$\end{document} X N was transferred into a trajectory matrix with K lagged vectors of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\rm{X}}}_{L}$$\end{document} X L as given by T , where K = N – L + 1. The trajectory matrix T was decomposed by singular value decomposition. By grouping the eigentriples and averaging the elements of reconstructed trajectory matrix along anti diagonals, we could get filtered time series represented by \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\rm{G}}}_{N}=\left\{{g}_{1},{g}_{2},\ldots ,{g}_{N}\right\}$$\end{document} G N = g 1 , g 2 , … , g N .

Article Snippet: Accelerometer type , , Micromotion logger sleep watch, Ambulatory Monitoring Inc., Ardsley, NY , ActiGraph wGT3X-BT, Pensacola, FL, USA , Axivity AX3 wrist-worn triaxial accelerometer, Newcastle University, UK.

Techniques: Activity Assay

Journal: NPJ Digital Medicine

Article Title: CARE as a wearable derived feature linking circadian amplitude to human cognitive functions

doi: 10.1038/s41746-023-00865-0

Figure Lengend Snippet: Description of the participants and the accelerometer data.

Article Snippet: Accelerometer type , , Micromotion logger sleep watch, Ambulatory Monitoring Inc., Ardsley, NY , ActiGraph wGT3X-BT, Pensacola, FL, USA , Axivity AX3 wrist-worn triaxial accelerometer, Newcastle University, UK.

Techniques: Sampling