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113 results for “gait analysis”
Wrist and Tibia/Shoe Mounted IMU Measurement Results for Gait Analysis
<p>This document describes a dataset of measurement results collected using wrist, tibia and shoe mounted inertial sensors. The main purpose of the dataset was to test signal translation algorithms converting signals registered using the wrist-worn sensor e.g. a smartwatch to signals which would be measured with a shoe or tibia - mounted device. The dataset includes tri-axial acceleration and angular velocity registered during several walks.</p> <p>More details are included in the dataset_description pdf file.</p> <p>When using the data, please consider also citing the original paper, for which it was collected:</p> <p>Kolakowski, M.; Djaja-Josko, V.; Kolakowski, J.; Cichocki, J. Wrist-to-Tibia/Shoe Inertial Measurement Results Translation Using Neural Networks. <em>Sensors</em> <strong>2024</strong>, <em>24</em>, 293. <a href="https://doi.org/10.3390/s24010293" target="_blank" rel="noopener">https://doi.org/10.3390/s24010293</a></p> <p><strong>The dataset will be gradually updated as new data are gathered.</strong></p>
Health&Gait: a dataset for gait-based analysis
<p>This repository contains the <strong>Health&Gait</strong> dataset, the first that enables gait analysis using visual information without specific sensors, relying solely on cameras. The dataset includes multimodal features extracted from videos, and gait parameters and anthropometric measurements from each participant. This dataset is intended for use in health, sports and gait analysis research.</p> <p>Health&Gait consists of 1,564 videos of 398 participants walking in a controlled closed environment, where each video has associated the following information:</p> <ul> <li>2D pose estimation of their joints by <a href="https://github.com/MVIG-SJTU/AlphaPose"><strong>AlphaPose</strong></a> (JSON format files).</li> <li>Semantic segmentation by <a href="https://github.com/facebookresearch/detectron2/tree/main/projects/DensePose"><strong>DensePose</strong></a> (PNG images).</li> <li>Optical flow by <a href="https://docs.opencv.org/3.4/dc/d47/classcv_1_1DualTVL1OpticalFlow.html" rel="nofollow"><strong>TVL1</strong></a> and <a href="https://github.com/haofeixu/gmflow"><strong>GMFlow</strong></a> (PNG images).</li> <li>Silhouette by <a href="https://github.com/ultralytics/ultralytics"><strong>YOLOV8</strong></a> (JPEG images).</li> </ul> <p>Moreover, for each subject, the following data has been recorded:</p> <ul> <li>Anthropometric measurements.</li> <li>Gait parameters obtained from OptoGait and MuscleLAB.</li> <li>Gait parameters estimated from pose information.</li> </ul>
Dataset for train and test BRITTANY (Biometric RecognITion Through gAit aNalYsis)
<p>This dataset can be used train and test the BRITTANY tool. Information contained in the dataset is especially suitable to be used as train and test data for neural network-based classifiers.</p> <p>This dataset contains 198 Rosbag files, of 5 seconds duration, recorded in different locations (kitchen, livingroom-window and livingroom-door) with Orbi-One robot stood still. Two sorts of Rosbag files have been recorded. In 90 Rosbag files (train*.bag), data recorded correspond to a person walking in a straight line in front of the robot. Data from five different people have been recorded. For each location and person, six Rosbag files have been recorded.</p> <p>In 108 Rosbag files (test*.bag), data recorded correspond to a person walking in a straight line in front of the robot. Data from six different people have been recorded. Five of those six people are the same as in the other rosbags and the other one is not registered in the system to evaluate the false-positive cases in the system.</p>
Gait analysis results for different pediatric prosthetic knee prescription protocols
<p>Traditionally, children who need a prosthetic knee joint are not provided with one in their first prosthesis. An alternative Early Knee protocol provides a flexing knee in the first prosthesis. The purpose of this multi-site study was to examine kinematic outcomes during walking in separate groups of young children in an Early prosthetic knee prescription protocol (EK) versus a traditional prosthetic knee protocol (TK), along with a population of children without lower limb amputations. Eighteen children aged 12 months to five years were recruited for this study at two clinical sites, six in each of the three groups. Children in the two prosthesis groups had unilateral limb loss and had been treated at one site with the TK protocol or at another with the EK protocol. All children walked at self-selected speed while kinematic data were collected using similar Vicon motion analysis systems. Data include joint angles, extrema, and ranges of motion used for the determination of temporal and spatial gait parameters and swing-phase clearance adaptations. </p>
Current Practices in Clinical Gait Analysis in Europe - Survey
<p>This dataset contains anonymous raw data from a questionnaire on the practice of clinical gait analysis in Europe. This work was initiated by ESMAC (European Society for Movement Analysis in Adults and Children). It includes the analysis of 75 questions answered by 97 laboratories.<br>The dataset contains 5 files:<br>- Survey_ESMAC_Questions is a pdf file containing the questions asked. <br>- Survey_ESMAC_Data.xlsx is an Excel file containing the raw data and the data modified for the analysis. The modifications made were notified in two sheets of the file.<br>- Survey_ESMAC_Results.pdf is a file containing the export of the results in PDF format.<br>- Survey_ESMAC_Results.html is a file containing the export of results in HTML format.</p>
The Effect of a New Generation of Ankle Foot Orthoses on Sloped Walking in Children with Hemiplegia Using the Gait Real Time Analysis Interactive Lab (GRAIL)
<div>The dataset includes the kinematics and kinetics of gait uphill (+10 deg), level ground (0 deg), and downhill (-5 deg) in children with unilateral cerebral palsy who underwent a single session of walking using immersive virtual reality (GRAIL system by Motek), while wearing traditional ankle-foot orthosis (oldAFOs) and a new generation AFO (newCAMOt1).</div> <div>In column A of the file, you will find the patient ID, the type of orthosis used, and the walking condition (e.g., P01_oldAFO_flat0001 indicates that patient 01 performed the walking trial on level ground with the traditional orthosis).</div> <div>In column B of the file, you will find the laterality (R = right, L = left), the name of the analyzed variable, and the stride number (e.g., L_Moment Ankle Flex_step1 means that we are considering the moment at the left ankle of the first left stride).</div> <div>From column C to column CY, you will find the values at the 101 temporal instants of the analyzed variable.</div>
Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment
<p>The dataset is related to the paper Piazza, C.; Pirovano, I.; Mastropietro, A.; Genova, C.; Gagliardi, C.; Turconi, A.C.; Malerba, G.; Panzeri, D.; Maghini, C.; Reni, G.; Rizzo, G. and Biffi E. Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment. Electronics 2021, 10, 2838. https://doi.org/10.3390/electronics10222838. </p> <p>It includes multimodal data (EEG, EMG, kinematics and kinetics) of a healthy child (HC) and a child with hemiparesis (CP01) during walking in a virtual environmment (GRAIL, Motek).</p> <p>Data can be opened by using EEGLab and Matlab </p> <p> </p> <p> </p>
Deep Neural Network for Stroke Patient Gait Analysis and Classification
ClinicalTrials.gov study NCT04968418. IPD Sharing: NO. Countries: 1. Publications: 3.
The Effect of Lumbar Stabilization Exercise and Gait Training on Lower Back Muscles- Electromyographic(EMG) Analysis
ClinicalTrials.gov study NCT02938169. IPD Sharing: NO. Countries: 1. Publications: 1.
Gait analysis results for different pediatric prosthetic knee prescription protocols
Open the record for dataset details and reuse information.
Quantification of flagellar gait changes with combined shape mode analysis and swimming simulations
Open the record for dataset details and reuse information.
Improving the reliability of underwater gait analysis using wearable pressure and inertial sensors
<p><strong>Improving the reliability of underwater gait analysis using wearable pressure and inertial sensors</strong></p> <p> </p> <p>This work addresses the lack of reliable wearable methods to assess walking gaits in underwater environments by evaluating the lateral hydrodynamic pressure exerted on lower limbs. Sixteen healthy adults were outfitted with waterproof wearable inertial and pressure sensors. Gait analysis was conducted on land in a motion analysis laboratory using an optoelectronic system as reference, and subsequently underwater in a rehabilitation swimming pool. Differences between the normalized land and underwater gaits were evaluated using temporal gait parameters, knee joint angles and the total water pressure on the lower limbs. The proposed method was validated against the optoelectronic system on land; gait events were identified with low bias (0.01s) using Bland-Altman plots for the stride time, and an acceptable error was observed when estimating the knee angle (10.96° RMSE, Bland-Altman bias -2.94°). The kinematic differences between the land and underwater environments were quantified, where it was observed that the temporal parameters increased by more than a factor of two underwater (p<0.001). The subdivision of swing and stance phases remained consistent between land and water trials. A higher variability of the knee angle was observed in water (CV = 60.75%) as compared to land (CV = 31.02%). The intra-subject variability of the hydrodynamic pressure on the foot (CVz = 39.65%) was found to be substantially lower than that of the knee angle (CVz = 67.69%). The major finding of this work is that the hydrodynamic pressure on the lower limbs may offer a new and more reliable parameter for underwater motion analysis as it provided a reduced intra-subject variability as compared to conventional gait parameters applied in land-based studies.</p> <p> </p>
Ataxia and Exercise Disease Using MRI and Gait Analysis
ClinicalTrials.gov study NCT03701776. IPD Sharing: NO. Countries: 1. Publications: 1.
Gait Pattern Analysis and Feasibility of Gait Training With a Walking Assist Robot in Stroke Patients and Elderly Adults
ClinicalTrials.gov study NCT02843828. IPD Sharing: NO. Countries: 1. Publications: 2.
Reliability of a Body-worn Sensor System for Gait Analysis in Children With CP
ClinicalTrials.gov study NCT04240275. IPD Sharing: NO. Countries: 1. Publications: 3.
Home-based Gait Rehabilitation Service Using the Insole-type Gait Analysis Device for Children With Cerebral Palsy
ClinicalTrials.gov study NCT06461923. IPD Sharing: NO. Countries: 1. Publications: 15.
Gait Analysis in Idiopathic Clubfoot Patients Treated by the Ponseti Method
ClinicalTrials.gov study NCT05572411. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Instrumental Gait Analysis on People With Stroke After Rehabilitation With a Synchronized FES and Cycle Ergometer System
ClinicalTrials.gov study NCT04473391. IPD Sharing: NO. Countries: 1. Publications: 5.
Gait Analysis by Induced Disorientation in a VR Environment
ClinicalTrials.gov study NCT04134806. IPD Sharing: NO. Countries: 1. Publications: 3.
Can Gait Analysis and Ultrasound Detect a Change in Calf Musculature in Children With Cerebral Palsy?
ClinicalTrials.gov study NCT04290689. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.