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11 results for “Kinematic reconstruction”
Raw data acquired necessary to produce the plots introduced in the scientific paper: "Upper-limb kinematic reconstruction during stroke robot-aided therapy" (Medical & Biological Engineering & Computing)
<p>These files contain the raw data acquired necessary to produce the plots introduced the Figure 6 of the scientific paper: “Upper-limb kinematic reconstruction during stroke robot-aided therapy” (Medical & Biological Engineering & Computing).</p> <p>Fig. 6 shows the data recorded from two patients performing five forward/backward movements at InMotion2 robot before and after rehabilitation treatment. Mean values of the five execution have been reported in Fig. 6.</p>
Raw data employed to perform the algorithm used in the scientific paper: "Kinematic reconstruction of the upper limb joints in planar robot-aided therapies
<p>These files contain the raw data (acquired from different users) necessary to perform the algorithm introduced in the scientific paper:</p> <p>PAPER: Kinematic reconstruction of the upper limb joints in planar robot-aided therapies</p> <p>Authors: Arturo Bertomeu-Motos, Ricardo Morales, Jorge A. Díez, Luis D. Lledó, Francisco J. Badesa, Nicolas Garcia-Aracil</p> <p>Conference: ICORR 2015, IEEE 14th International Conference on Rehabilitation Robotics, August 2015</p> <p><br> All the orientations are expressed regarding the origin of the robot.</p> <p>a) Robot Joints: Planar robot joints acquired during the experiment, in radians (j1-j3 columns). This robot is referenced in the paper.<br> b) Quaternion IMU shoulder: Unit quatenion acquired through a 9DoFs Inertial Measurement Unit (IMU) developed by Shimmer (qw1-qz columns).<br> c) Upper arm acceleration: Acceleration acquired from a 3-axial accelerometer developed by Shimmer (X-Z columns). It is normalized regarding the gravity (9.81m/s^2).<br> d) Quaternion Tracker onto Shoulder: unit quaternion of the tracker placed onto the shoulder acquired from the tracking camera V120:trio developed by Optitrack (qw1-qz columns).<br> e) Quaternion Tracker onto Upper Arm: unit quaternion of the tracker placed onto the upper arm acquired from the tracking camera V120:trio developed by Optitrack (qw1-qz columns).</p>
Raw data employed to perform the algorithm used in the scientific paper: "Kinematic reconstruction of the human arm joints in robot-aided therapies with Hermes robot"
<p>This file contains the raw data necessary to perform the algorithm introduced in the scientific paper:</p> <p>PAPER: Kinematic reconstruction of the human arm joints in robot-aided therapies with Hermes robot</p> <p>Authors: Arturo Bertomeu-Motos, Ricardo Morales, Luis D. Lledó, Jorge A. Díez, Jose M. Catalan, Nicolas Garcia-Aracil.</p> <p>Conference: EMBC 2015, IEEE 37th International Conference in Medicine and Biology Society, August 2015.</p> <p>Raw data acquired necessary to perform thee algorithm introduced in this paper.</p> <p>a) Robot Joints: Robot joints generated to develop the simulation, in radians (j1-j7 colums). This robot is referenced in the paper.<br> b) Direct Upper Limb Joints: Upper limb joints generated to develop the simulation, in radians (q1-q7 columns). This data is used to simulate the accelerometer value.</p>
Idealized wave data in support of Directional Breaking Kinematics Observations from 3D Stereo Reconstruction of Ocean Waves
<p>You will find the WaveWatchIII data output from idealized solutions of Romero 2019, ST4 and ST6</p> <p>Data are in Netcdf format and include metadata.</p> <p>Each file corresponds to a duration-limited solution with constant wind speed of 13 m/s</p>
Optical motion capturing of change of direction motions reconstructed with inverse kinematics and dynamics and optimal control simulation
<p>This is the data belonging to the publication "Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data".</p> <p>This study investigated the feasibility and accuracy of reconstructing, especially change of direction motions with a 3D full-body musculoskeletal model by tracking marker and ground reaction force (GRF) data in optimal control simulations. We recorded in total 30 trials with optical motion capture. Using this data, we compared inverse methods (inverse kinematics and dynamics) to coordinate tracking simulations and marker tracking simulations.</p> <p>Please see the README and the publication for further details.</p>
3D kinematics and kinetics of change of direction motions reconstructed from virtual inertial sensor data through optimal control simulation
<p>This is the data belonging to the publication "Estimating 3D kinematics and kinetics from inertial sensor data through musculoskeletal movement simulations".</p> <p>This study investigated the feasibility and accuracy of reconstructing, especially change of direction motions, with a 3D full-body musculoskeletal model by tracking virtual inertial sensor data in optimal control simulations. We used the recordings of 90 trials with optical motion capture to generate marker tracking simulations from which we computed virtual inertial sensor data. Using this data, we compared inertial tracking simulations and marker tracking simulations.</p> <p>Please see the README and the publication for further details.</p>
The effect of proprioception training on knee kinematics after anterior cruciate ligament reconstruction
<p><span><b>Background</b> Proprioception is essential for the normal movement of joint knees. The degree of functional recovery after ACL reconstruction is related with the degree of postoperative recovery of proprioception. The current study aimed to investigate the effect of proprioception training on functional level of activity and knee kinematics after anterior cruciate ligament reconstruction.</span></p> <p><span><b>Methods</b> Forty patients who underwent ACL reconstruction between January 2017 and June 2019 were included. The patients were divided into proprioception group (n=20) and control group (n=20). All the patients followed common postoperative rehabilitation program. The proprioception group were given proprioception enhancement program besides common postoperative rehabilitation program. All the patients were assessed preoperatively, 6 months and 1 year after operation. The lymsolm scores, hop distances, and knee kinematics during unanticipated jump–cut maneuver were compared at different follow-up time points.</span></p> <p><span><b>Results</b> There were no significant differences preoperative and postoperative Lysholm scores between two groups. After surgery, the proprioception group showed significantly higher hop distance (133.9 ± 26.2 cm) when compared with the control group (81.2 ± 17.2 cm, P=0.026) in 6-months and one-year follow-up (153.1 ± 19.3 vs 105.8 ± 20.7cm, P=0.034). For knee joint kinematics, the proprioception training group showed reduced knee abduction (valgus) angles and external rotations, and increased knee flexion when compared with the common training group.</span></p> <p><span><b>Conclusions</b> We conclude that proprioceptive rehabilitation training enhance the kinematic performance and single leg hop distance in ACL-reconstructed populations during jump-stop, unanticipated cut maneuver. The findings will be scientific evidences to help clinicians and physiotherapists to evaluate the patients' readiness for exercises and sports, especially in the cases of loading and extreme rotation conditions.</span></p>
Quantitative kinematic reconstruction of the Tibetan-Himalayan Orogen since 130 Ma
Open the record for dataset details and reuse information.
The effect of proprioception training on knee kinematics after anterior cruciate ligament reconstruction
Open the record for dataset details and reuse information.
Comparison of Kinematic Movements Between ACL Deficiency With ACL Reconstruction and Healthy People
ClinicalTrials.gov study NCT05619393. IPD Sharing: NO. Countries: 1. Publications: 0.
The Wave Acquisition Stereo System data in support of Directional Breaking Kinematics Observations from 3D Stereo Reconstruction of Ocean Waves
<p>The stereo-image data archived at https://data-dataref.ifremer.fr/stereo/AA_2015/2015-03-05_10-35-00_12Hz/ has been processed with the Wave Acquisition Stereo System (WASS) software and the output is resampled to a regular grid of 20 cm for the computation of Wave Spectrum.</p> <p>The data is in standard Netcdf4 format and include metadata. The python script used to generate this .nc file is available at https://github.com/akaawase-bernard/WASSnc</p> <p>There is a total of 21571 snapshots of the sea surface elevation information.</p>
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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.