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32
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ShareScore release 0.9.0
Dataset results
32 results for “inertial sensors”
Inertial Sensor-Based Motion Tracking in Football with Movement Intensity Quantification - Data
<p>Processed data of IMU measurements and VICON measurements, including the necessary Matlab scripts to process the data from research article 'Inertial Sensor-Based Motion Tracking in Football with Movement Intensity Quantification'.</p>
Inertial Sensors for Obstetrical Walking Epidural Tracking
ClinicalTrials.gov study NCT06471790. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Digital Rehabilitation System With Wearable Multi-IMU (Inertial Measurement Unit) Sensors on Upper Limb Functions in Children With Brain Injury
ClinicalTrials.gov study NCT02949817. IPD Sharing: NO. Countries: 1. Publications: 0.
Use of Inertial Sensors to Characterize the Fatigability of Post-stroke Hemiplegic Patients
ClinicalTrials.gov study NCT05793047. IPD Sharing: NO. Countries: 1. Publications: 0.
Feasability, Validty and Reliability of Inertial Sensors
ClinicalTrials.gov study NCT03668990. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Effectiveness of Inertial Sensors vs the Conventional Technique for the Execution of the Bone Resections in Primary TKA
ClinicalTrials.gov study NCT04242303. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessment of the Evolution of Lumbar Spine Movement Fluidity Using Xsens Inertial Sensors in Subjects With Chronic Low Back Pain Before and After Rehabilitation
ClinicalTrials.gov study NCT07327554. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Evaluation of the Clinical Outcomes of the Total Knee ps Prosthesis Implanted With the Use of Inertial Sensors
ClinicalTrials.gov study NCT06321042. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Inertial Sensors Used to Learn Manipulation
ClinicalTrials.gov study NCT01911338. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Reliability of the Gyko Inertial Sensor System in Evaluating Jumping and Postural Stability Parameters in Healthy Adults
ClinicalTrials.gov study NCT06674083. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Activity recognition with 8 inertial sensors
<p>A dataset of 10 individuals performing 5 actions with 8 wearable devices on different parts of the body.</p>
A Comparative Analysis of Shoes Designed for Subjects with Obesity Using a Single Inertial Sensor: Preliminary Results
<p>Walking remains a highly recommended form of exercise for the management of obesity. Thus, comfortable and adequate shoes represent, together with the prescription of a safe adapted physical activity, an important means to achieve the recommended physical activity target volume. However, the literature on shoes specific for obese individuals is inadequate. The aim of the present study was to compare the performance of shoes specifically designed for subjects with obesity with everyday sneakers during instrumented 6-min walking test and outdoor 30-min ambulation in a group of subjects with obesity using a single wearable device. Twenty-three obese individuals (mean age 58.96 years) were recruited and classified into two groups: deconditioned (n = 13) and non-deconditioned patients (n = 10). Each participant was evaluated with his/her daily sneakers and the day after with shoes specifically designed for people with obesity by means of a questionnaire related to the comfort related to each model of shoes and instrumentally during the i6MWT and an outdoor walking test. The results showed that the specifically designed shoes displayed the higher score as for comfort, in particular in the deconditioned group. During the i6MWT, the distance walked, and step length significantly increased in the deconditioned group when specifically designed shoes were worn; no significant changes were observed in the non-deconditioned individuals. The deconditioned group displayed longer step length during the outdoor 30-min ambulation test. In the non-deconditioned group, the use of specific shoes correlated to better performance in terms of gait speed and cadence. These data, although preliminary, seem to support the hypothesis that shoes specifically conceived and designed for counteracting some of the known functional limitations in subjects with obesity allow for a smoother, more stable and possibly less fatiguing gait schema over time.</p>
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Allen Brain Atlas
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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.
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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.
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