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Dataset results
15 results for “Joint angles”
EMG and joint angle data
<p>This dataset consists of lower limb EMG data and joint angle data of different healthy subjects for different walking speeds in the treadmill.</p> <p><em>Note: The EMG data is raw and needs to be high pass filtered, rectification and low pass filtered. Then normalization of the data can be done using <strong>MVC.mat </strong>file (maximum voluntary contraction) provided along with the other data. </em></p> <p><strong>Recorded Instruments:</strong></p> <p>EMG Data: Delsys and the placement of sensors are placed according to <a href="http://seniam.org/sensor_location.htm">SENIAM.</a></p> <p>Joint kinematics: Xsens.</p> <p><strong>Speeds:</strong></p> <p><strong>Constant: </strong>0.9 km/hr, 1.8 km/hr, 2.7 km/hr, 3.6 km/hr</p> <p><strong>Varying: </strong>0.9 km/hr (20 seconds) - 1.8 km/hr (20 seconds) - 2.7 km/hr (20 seconds) - 3.6 km/hr (20 seconds) - 2.7 km/hr (20 seconds) -1.8 km/hr (20 seconds) -0.9 km/hr (20 seconds)<strong> </strong></p>
Joint angles during early sprint acceleration with wearable resistance among Australian Rules football players
<p><span>Rapid acceleration is an important quality for field-based sport athletes. Technical factors contribute to greater acceleration and these can be deliberately influenced by coaches through implementation of constraints, which afford particular coordinative states or induce variability generally. Lightweight wearable resistance is an emerging training tool, which can act as a constraint on acceleration. At present, however, the effects on whole-body coordination resulting from different WR configurations and magnitudes are unknown. To better understand these effects, five male Australian Rules football athletes performed a series of 20 m sprints with either relatively light or heavy wearable resistance applied to the anterior or posterior aspects of the thighs or shanks. Whole body coordination during one complete stride in early acceleration was examined across eight wearable resistance conditions and compared with baseline (unresisted) acceleration coordination using group- and individual-level hierarchical cluster analysis. Self-organising maps and a joint-level distance matrix were used to further investigate specific kinematic changes in conditions where coordination differed most from baseline. Across the group, relatively heavy wearable resistance applied to the thighs resulted in the greatest difference to whole-body coordination compared with baseline acceleration. On average, heavy posterior thigh wearable resistance led to altered pelvic position and greater hip extension, while heavy anterior thigh wearable resistance led to accentuated movement at the shoulders in the transverse and sagittal planes. These findings offer a useful starting point for coaches seeking to use wearable resistance to promote the emergence of greater hip extension or upper body contribution during acceleration. Importantly, individuals varied in how they responded to heavy thigh wearable resistance, which coaches should be mindful of. The present findings also offer more focussed future research directions around the question of coordinative changes in response to wearable resistance, which may be investigated among larger sample groups.</span></p>
Angles of Knee and Hip Joints for Optimization of Neuromuscular Electrical Stimulation of the Quadriceps Femoris Muscle
ClinicalTrials.gov study NCT03822221. IPD Sharing: UNDECIDED. Countries: 1. Publications: 17.
The Angle of the Metacarpophalangeal Joint of the Thumb During Maximal Pinch Strength
ClinicalTrials.gov study NCT04875156. IPD Sharing: NO. Countries: 1. Publications: 1.
Posterior Innominate Mobilization Versus Muscle Energy Technique on Lumbopelvic Angles in Sacroiliac Joint Dysfunction
ClinicalTrials.gov study NCT06280963. IPD Sharing: NO. Countries: 1. Publications: 2.
Joint angles during early sprint acceleration with wearable resistance among Australian Rules football players
Open the record for dataset details and reuse information.
Smart Kneebrace for Continuous Monitoring of Joint Angles During Rehabilitation
ClinicalTrials.gov study NCT03365284. IPD Sharing: NO. Countries: 0. Publications: 4.
Adjustments in end-effector trajectory and underlying joint angle synergies after a target switch: Order of adjustment is flexible
<p>These are the data files used to perform the analyses for the paper: 'Adjustments in end-effector trajectory and underlying joint angle synergies after a target switch: Order of adjustment is flexible'.</p>
Knee Joint Angle Affect Muscle Architecture in Children With Cerebral Palsy
ClinicalTrials.gov study NCT06481722. IPD Sharing: NO. Countries: 1. Publications: 0.
WBV on Fascicle Lenght and Knee Joint Angle in CP
ClinicalTrials.gov study NCT06600984. IPD Sharing: NO. Countries: 1. Publications: 0.
Most Effective Knee Joint Angle Pair for Isometric Exercise
ClinicalTrials.gov study NCT07207135. IPD Sharing: NO. Countries: 1. Publications: 0.
Angle-Specific Torque Profile Analysis in the Wrist Joint
ClinicalTrials.gov study NCT07122375. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
The transcription factor OsWRKY36 regulates lamina joint development and the leaf angle in rice by modulating brassinosteroid signalling [DAP-seq]
GEO Series GSE310494. Oryza sativa. 3 samples. Type: Other.
The transcription factor OsWRKY36 regulates lamina joint development and the leaf angle in rice by modulating brassinosteroid signalling [ChIP-Seq]
GEO Series GSE310275. Oryza sativa. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The transcription factor OsWRKY36 regulates lamina joint development and the leaf angle in rice by modulating brassinosteroid signalling
GEO Series GSE285338. Oryza sativa. 18 samples. Type: Expression profiling by high throughput sequencing.
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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.