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10 results for “arm swing”
Smartwatch gait dataset in simulated Parkinson's disease restricted arm swing conditions
<p>Movement data was collected through smartwatches to monitor gait impairments in healthy subjects. </p> <p>The dataset collected for this study consists of triaxial acceleration and triaxial gyroscope data from 24 subjects when performing a set of gait activities while wearing a smartwatch in their preferred wrist. Each participant performed three gait activities twice, 30 meters straight walk while carrying progressively heavier loads (0 kg, 2 kg, and 4 kg) to simulate restricted arm swing. So, considering that there were 24 participants, 3 different activities and each activity performed twice, a total of 144 data files were obtained.</p> <p>Data was collected using a sample rate of 50Hz. Acceleration is expressed in m/s^2 and gyroscope data in rad/s.</p> <p>Check the " Bioclite_Restricted_Arm_Swing_Data_README.txt" file for details about this dataset.</p> <p><strong>Funding:</strong></p> <p>This research was funded by the following projects:</p> <div> <p>(1) Proyectos de Generación de Conocimiento 2021. PID2021-123708OB-I00, funded by MCIN/AEI/10.13039/ 501100011033/ FEDER, EU</p> </div>
Data and code from: Healthy young adults use distinct gait strategies to enhance stability when walking on mild slopes and when altering arm swing
<p>This repository contains the Julia code, Jupyter notebook, and data used in the study “Healthy young adults use distinct gait strategies to enhance stability when walking on mild slopes and when altering arm swing” by MacDonald et al.</p> <p><strong>Instructions</strong></p> <p>To run this analysis on your computer, both Julia and Jupyter Notebook must be installed. A version of Julia appropriate for your OS can be downloaded from the <a href="https://julialang.org/downloads/">Julia website</a>, and Jupyter can be installed from within Julia (in the REPL) with</p> <pre><code>] add IJulia</code></pre> <p>Alternate instructions for installing Jupyter can be found on the <a href="https://github.com/JuliaLang/IJulia.jl">IJulia github</a> or the <a href="https://jupyter.org/install">Jupyter homepage</a> (not recommended).</p> <p>From within the main repository directory, start Julia and then start Jupyter in the Julia REPL</p> <pre><code>using IJulia notebook(;dir=pwd())</code></pre> <p>or if using a system Jupyter installation, start Jupyter from your favorite available shell (e.g. Powershell on Windows, bash on any *nix variant, etc.). In Jupyter, open the <code>notebooks/analysis.ipynb</code> notebook. Running all cells will reproduce the results for this paper.</p> <p><strong>Description of data</strong></p> <p>The <code>data</code> directory contains all the data used in the production of the results which were statistically tested.</p> <p>Each <code>.mat</code> file contains events and data generated in Visual3D:</p> <ul> <li>Events <ul> <li><code>LTO</code>/<code>RTO</code> (Left/right toe-off)</li> <li><code>LHS</code>/<code>RHS</code> (Left/right heel-strike)</li> <li><code>HIST</code>/<code>HIEN</code> (Hilly start/end)</li> <li><code>ROST</code>/<code>ROEN</code> (Rocky start/end)</li> <li><code>MLST</code>/<code>MLEN</code> (ML translation start/end)</li> </ul> </li> <li>Data <ul> <li><code>LFootPos</code>/<code>RFootPos</code> (Left/right foot COM position)</li> <li><code>TrunkPos/TrunkVel</code>/<code>TrunkAcc</code> (Trunk COM position, velocity, and acceleration)</li> <li><code>HeadPos/HeadVel</code>/<code>HeadAcc</code> (Head COM position, velocity, and acceleration)</li> <li><code>COG</code> (Whole-body COM/COG)</li> </ul> </li> </ul> <p>The <code>.csv</code> files contain system state of the CAREN system produced by D-Flow software, which includes various system and software settings, most pertinent of which is the treadmill speed.</p> <p>The <code>.c3d</code> files contain the raw motion capture data from Vicon Nexus.</p> <ul> </ul> <p>The results of the <code>notebooks/analysis.ipynb</code> notebook are found in the <code>results</code> folder. Please see the paper for a list of the dependent variables and statistical analyses.</p>
Data: Influence of Arm Swing on Cost of Transport during Walking
<p>Data and code for De Graaf et al. (2019): Influence of Arm Swing on Cost of Transport during Walking (<a href="https://doi.org/10.1101/426775">https://doi.org/10.1101/426775</a>).</p> <p>The ArmSwingData folder contains two subfolders. One with the raw data and one with the necessary scripts to run the analyses. The analysis can be run from the <strong>Main.m</strong> script located in the top folder. <strong>Start.m</strong> initializes the program, and saves some important variables in <strong>infovar.mat</strong> so most programs can be ran separately, without being called from Main.m. If you change the name of the ArmSwingData folder, make sure to change the name for the directory in this script.</p> <p>Data is ordered in the subfolder ‘Data’. For each participant (PP01, PP02, …, PP12) three folders exist:</p> <ul> <li><strong>Cosmed</strong>: contains excel files with the metabolic (cosmed) data, as well as age/height/weight information of the participant</li> <li><strong>ForcePlate</strong>: contains .afp and .afp2 files with kinetic data for forceplate 1 and 2 respectively. You can find which file corresponds to what condition in the file ‘Main_Forceplate.m’ stored in the software subfolder. Heelstrike information for the forceplate data has already been stored in the variable PP**_HS.mat, but can also be recalculated and checked from within the software. To do this open ‘Main_Forceplate.m’ and uncomment line 23 that runs ‘Forceplate_HeelStrike.m’ .</li> <li><strong>Xsens</strong>: contains .mvnx for all conditions. You can find which file corresponds to what condition in the file ‘Main_Xsens.m’ stored in the software subfolder. Heelstrike information for the xsens data has already been stored in the variable PPXX_HS.mat, but can also be recalculated and checked from within the software. To do this open ‘Main_Xsens.m’ and uncomment line 23 that runs ‘Xsens_HeelStrike.m’ .</li> </ul> <p>All scripts (except for start-up files Main.m and Start.m) are located in the software folder:</p> <ul> <li><strong>=VU 3D Model=</strong>: the somewhat under documented VU 3D model, several functions of which are being used;</li> <li><strong>Cosmed</strong>: All scripts belonging to the cosmed analysis. These can be all run from Main_Cosmed.m</li> <li><strong>ForcePlate</strong>: All scripts belonging to the kinetic analysis. These can be all run from Main_ForcePlate.m</li> <li><strong>Xsens</strong>: All scripts belonging to the kinematic analysis. These can be all run from Main_Xsens.m</li> <li><strong>Plotting</strong>: All scripts necessary for creating the figures featured. These can be all run from Plots.m</li> </ul> <p>All the Main_*.m files can in turn be ran from Main.m. The Main_*.m files also contain brief descriptions of the files. All files first check if the product they create already exist. If so they will not run. If you want to run them anyways, simply inverse the if ~exist statement by removing the tilde, the program will then be executed and the existing product will be overwritten.</p> <p>N.B. For Xsens_Align, checking if it’s product exists takes a long time, so it could be wise to not run this program again after the first time (set run=false at the start of the program, or simply comment the line in Main_Xsens)</p>
Arm Swing During Walking in Early Multiple Sclerosis
ClinicalTrials.gov study NCT05821257. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Data from: Increasing cognitive load attenuates right arm swing in healthy human walking
Human arm swing looks and feels highly automated, yet it is increasingly apparent that higher centres, including the cortex, are involved in many aspects of locomotor control. The addition of a cognitive task increases arm swing asymmetry during walking, but the characteristics and mechanism of this asymmetry are unclear. We hypothesized that this effect is lateralized and a Stroop word-colour naming task—primarily involving left hemisphere structures—would reduce right arm swing only. We recorded gait in 83 healthy subjects aged 18–80 walking normally on a treadmill and while performing a congruent and incongruent Stroop task. The primary measure of arm swing asymmetry—an index based on both three-dimensional wrist trajectories in which positive values indicate proportionally smaller movements on the right—increased significantly under dual-task conditions in those aged 40–59 and further still in the over-60s, driven by reduced right arm flexion. Right arm swing attenuation appears to be the norm in humans performing a locomotor-cognitive dual-task, confirming a prominent role of the brain in locomotor behaviour. Women under 60 are surprisingly resistant to this effect, revealing unexpected gender differences atop the hierarchical chain of locomotor control.
Effects of Nordic Walking and Free Walking on Arm Swing Parameters and Gait in Parkinson's Disease
ClinicalTrials.gov study NCT06342271. IPD Sharing: NO. Countries: 0. Publications: 1.
Data from: Increasing cognitive load attenuates right arm swing in healthy human walking
Open the record for dataset details and reuse information.
The Influence of Cortical Lateralization on Selective Motor Control of the Arm Swing During Independent Walking After Stroke.
ClinicalTrials.gov study NCT06442579. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Ping-Shuai-Gong and Arm-Swing-Exercise
ClinicalTrials.gov study NCT05343897. IPD Sharing: NO. Countries: 1. Publications: 0.
Investigation of Arm Swings Characteristics in Patient With Chronic Obstructive Pulmonary Disease
ClinicalTrials.gov study NCT05746702. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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