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9 results for “Angular measurement”
MLA and MJA Anthropometric angular measurements on the foot
<p><strong>DATASET DESCRIPTION </strong></p> <p>These datasets contain a collection of dynamic measurements of the Medial Longitudinal Arch (MLA) angle and the Metatarsophalangeal Joint Angle (MJA), as well as coordinates of the centroid pixel of the landmarks placed on anthropometric points of the foot. The measurements are performed using the proposed system and Kinovea software during the cycle gait in eight subjects with an average age of 33 years and size foot of 8 inches. </p> <p>The dataset "Anthropometric Vision System" contains 1002 measurements using the proposed system based on the dot product method and landmark detection algorithm, while the dataset "Kinovea" has 1002 measurements using the Kinovea software. In addition, the videos Subject1.mp4 to Subject8.mp4 are utilized to generate datasets through the Anthropometric Vision System and Kinovea software. The columns of the 'Anthropometric Vision System' and 'Kinovea' datasets are derived from these videos.</p> <p><br>A demonstration of the anthropometric angular measurements using both systems is shown in <br>the following videos. </p> <p><strong>Anthropometric Vision System</strong><br>https://youtu.be/dmCLftekLLw</p> <p><strong>Kinovea</strong><br>https://youtu.be/P86oO90Q8bE</p> <p> </p> <p><strong>COLUMNS ACRONYMS</strong></p> <p>Subject: Subjects 1 - 8<br>MJA: Metatarsophalangeal Joint Angle (degrees)<br>MLA: Medial Longitudinal Arch (degrees)<br>L1X: X Coordinates of the centroid pixel for the landmark positioned on the proximal interphalangeal joint<br>L1Y: Y Coordinates of the centroid pixel for the landmark positioned on the proximal interphalangeal joint<br>L2X: X Coordinates of the centroid pixel for the landmark positioned on the sesamoid<br>L2Y: Y Coordinates of the centroid pixel for the landmark positioned on the sesamoid<br>L3X: X Coordinates of the centroid pixel for the landmark positioned on the navicular tuberosity<br>L3Y: Y Coordinates of the centroid pixel for the landmark positioned on the navicular tuberosity<br>L4X: X Coordinates of the centroid pixel for the landmark positioned on the posterior calcaneus<br>L4Y: Y Coordinates of the centroid pixel for the landmark positioned on the posterior calcaneus</p> <p> </p> <p><strong>IF YOU USE THIS DATASET, PLEASE CITE OUR ARTICLE</strong></p> <p>Title: "Anthropometric Vision System for measuring the Windlass mechanism during the gait cycle,"<br>Journal: Biomedical Signal Processing and Control<br>Volume: 103<br>Year: 2025,<br>ISSN: 1746-8094,<br>DOI: https://doi.org/10.1016/j.bspc.2024.107405<br><br></p>
Energy-Dependent, Self-Adaptive Mesh h(p)-Refinement of a Constraint-Based Continuous Bubnov-Galerkin Isogeometric Analysis Spatial Discretisation of the Self-Adjoint Angular Flux Form of the Multi-Group Neutron Transport Equation with Dual-Weighted Residual Error Measures
<p>This repository holds all of the raw data generated by my (Modern) Fortran code for a paper "Energy-Dependent, Self-Adaptive Mesh h(p)-Refinement of a Constraint-Based Continuous Bubnov-Galerkin Isogeometric Analysis Spatial Discretisation of the Self-Adjoint Angular Flux Form of the Multi-Group Neutron Transport Equation with Dual-Weighted Residual Error Measures".</p> <p>The (Modern) Fortran code solves the SAAF form of the multi-group neutron transport equation using novel NURBS-based, IGA spatial discretisations.</p>
Fast measurement of angular velocity in air-driven flat rotors with periodical features - Supplementary Data
<p>Supplementary Movie and data files used for generating Figure 4 in the main text. The files are compressed pickled pandas Dataframes and can be read with:</p> <pre><code class="language-python">import pandas as pd df = pd.read_pickle('/folder/file.xz', compression='xz')</code></pre> <p>Along with those files there are .txt files containing the physical information of each experiment.</p>
AALTO - Power Angular Measurements and Ray Tracing Simulations at Sub-THz Frequencies in Corridor - DATA
<p>The data set includes simulation results from radio propagation modelling of TERAWAY links (at 90, 95 and 100 GHz) in realistic university corridor environment. The modelling is performed using a Ray Tracing Tool developed in MATLAB environment at Aalto University. Ray tracing technique used in this tool is based on Image Theory (IT) algorithm. Unlike a quasi three-dimensional environment, it supports ray tracing in full three dimension.</p> <p>This data set contains propagation modelling results of the TERAWAY link. Output data includes (but is not limited to): Multipath component IDs, Path Distance (meter), Angle of Arrival AoA (degree), Angle of Departure AoD (degree), Direction of Arrival DoA (degree), Direction of Departure DoD (degree), E-Field (Volt/meter), H-Field (Ampere/meter), Phase (Radians), Power (Watts), Number of reflections a path experienced, Number of diffractions a path experienced, information that is it ground reflected path or not, Receiver location (x and y coordinates), information that is it rooftop path or not.</p>
Performance Measurement and Safety Evaluation of the PYTHEAS® ODYSSEE Angular Assistance System for Intra-pedicular Screw Placement in Adult Spine Surgery
ClinicalTrials.gov study NCT05565131. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Measurements of Displacement Amplitude and Angular Velocities During Passive Extension of the Wrist and Hand Complex in Stroke Patients
ClinicalTrials.gov study NCT04502927. IPD Sharing: NO. Countries: 1. Publications: 0.
Anthropometric Angular Measurement to Determine Muscle Tonus in Patients With Peripheral Facial Paralysis
ClinicalTrials.gov study NCT00903669. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Reliability and Reproducibility of Automated Angular Measurement in Strabismus
ClinicalTrials.gov study NCT03596138. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A new methodology using borehole data to measure angular distances between geological interfaces - Input and processed data
<p>This companion dataset relates to the manuscript "<strong>A new methodology using borehole data to measure angular distances between geological interfaces</strong>", by</p> <p>Michał P. Michalak<sup>a,b,</sup><a href="#sdfootnote1sym"><sup>1</sup></a>, Paweł Marzec<sup>b,</sup><a href="#sdfootnote2sym"><sup>2</sup></a>, Filip Turoboś<sup>c,</sup><a href="#sdfootnote3sym"><sup>3</sup></a>, Paulina Leonowicz<sup>d,</sup><a href="#sdfootnote4sym"><sup>4</sup></a>, Lesław Teper<sup>a,</sup><a href="#sdfootnote5sym"><sup>5</sup></a>, Paweł Gładki<sup>e,</sup><a href="#sdfootnote6sym"><sup>6</sup></a>, Michael J. Pyrcz<sup>f</sup><sup>,</sup><a href="#sdfootnote7sym"><sup>7</sup></a>,</p> <p>Mariusz Szubert<sup>g,</sup><a href="#sdfootnote8sym"><sup>8</sup></a></p> <p><a href="#sdfootnote1anc">1</a> Michał Michalak devised the project, wrote the manuscript, performed the computations and discussed the results.</p> <p><a href="#sdfootnote2anc">2</a> Paweł Marzec conducted the geological interpretation and discussed the results.</p> <p><a href="#sdfootnote3anc">3</a> Filip Turoboś conducted the statistical analysis.</p> <p><a href="#sdfootnote4anc">4</a> Paulina Leonowicz prepared the chapter about stratigraphy.</p> <p><a href="#sdfootnote5anc">5</a> Lesław Teper prepared the chapter about regional geology.</p> <p><a href="#sdfootnote6anc">6</a> Paweł Gładki participated in the study conceptualisation (discussion about distance functions)</p> <p><a href="#sdfootnote7anc">7</a> Michael Pyrcz discussed the applications of the method and revised the statistical section.</p> <p><a href="#sdfootnote8anc">8</a> Mariusz Szubert was responsible for the data acquisition.</p> <p>The archive contains the input and processed data. The input data contains XYZ coordinates of points documenting the investigated interfaces. The output files contains calculated orientations and coordinates of vectors. The output files can be processed in RStudio.</p>
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.