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4,655 results for “Rehabilitation”
Experimental data for "A Novel Clinical-Driven Design for Robotic Hand Rehabilitation: Combining Sensory Training, Effortless Setup and Large Range of Motion in a Palmar Device"
<p>Experimental data for the interaction force benchmark test of the PRIDE haptic hand rehabilitation device.</p>
Informing upper extremity rehabilitation through endpoint kinematics of the functional reaching movement after stroke
<p>Background. Stroke is a leading contributor to upper limb disability. Current assessments of motor ability are at best subjective estimates. Rehabilitation could be more effective when informed by an individual's specific capacities rather than diagnostic observation. This study characterizes sub-movements of interest during functional reach-to-target tasks with endpoint analysis.\newline<br> <br> Methods. Using Fugl-Meyer (FM) scores and reach capacities, stroke survivors were placed in either mild or severe impairment groups. Individual completed sets of reach-to-target tasks over two visits. The averaged reach curve for each subject was analyzed for angular orientation and velocity profile. The Procrustes method of statistical shape analysis was modified to identify reaching sub-movements that were incongruous to control sub-movements.\newline</p> <p>Findings. Reach-to-target curves were investigated for 15 individuals with mild impairment (FM <span class="math-tex">\(52 \pm 9\)</span>) and 14 individuals with severe impairment (FM <span class="math-tex">\(16 \pm 7\)</span>). The endpoint kinematic analysis found that individuals with severe impairment demonstrate lower peak velocities (centimeters per second) [<span class="math-tex">\(28.5 \pm 17.3 , 80.3 \pm 29.5\)</span>] which occurred sooner in the movement (milliseconds) [<span class="math-tex">\(36.81 \pm 27.0, 59.6 \pm 14.8\)</span>]. The mild group demonstrated variability in orientation in the medial-lateral space, and movement initiation that was congruous to healthy movement. The severe impairment group demonstrated variability in orientation in every axis and showed incongruous initiation and completion behaviors, with some comparable movement in between. \newline<br> <br> Interpretation. Endpoint analysis is a valuable option for clinicians to inform physiotherapy. In addition to kinematic metrics such as orientation and velocity, sub-movements that are comparable to healthy movement can be identified in both mild and severe impairment.</p>
Development of Distress Index Prediction Models for Rehabilitation Treatments in Louisiana Using Advanced Machine Learning Techniques
<p>Performance prediction models are used by state agencies to predict future trends in distress indices, hence, determining the required maintenance and/or rehabilitation treatment as well as the deterioration rate and remaining pavement service life. However, most of these models are based on a limited number of parameters and cannot predict the performance distress indices reliably. Such limitation resulted in having, most of the time, a maximum prediction period of five years. As a solution and coping with the ever-increasing size of pavement data, machine learning techniques have become a promising alternative. The objective of this study was to develop a machine-learning-based framework for states with a hot and humid climate that can predict the long-term field performance (for 11 years) of their asphalt (AC) overlays based on their key project conditions. Two machine learning algorithms were examined, namely Random Forest (RF) and CatBoost, and the one yielding a higher accuracy was considered. In this study, the well-known pavement condition index (PCI) was used as the pavement performance indicator. A total of 892 log miles of AC overlay data were obtained from the Louisiana Department of Transportation and Development (LaDOTD) Pavement Management System (PMS) database. Based on the collected data, six models were trained (for each algorithm) and validated to predict the future PCI of AC overlays for up to 11 years. Results indicated that the RF algorithm yielded higher accuracy than the CatBoost Algorithm and thus the RF-based models were considered in the proposed decision-making framework.</p>
Cardio-pulmonary Rehabilitation and Sleep Quality
ClinicalTrials.gov study NCT04668599. IPD Sharing: NO. Countries: 1. Publications: 5.
Pre-operative Rehabilitation for Reduction of Hospitalization After Coronary Bypass and Valvular Surgery.
ClinicalTrials.gov study NCT02219815. IPD Sharing: NO. Countries: 1. Publications: 2.
Rehabilitation of the Upper Extremity With Enhanced Proprioceptive Feedback Following Incomplete Spinal Cord Injury
ClinicalTrials.gov study NCT00833105. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cardiovascular Rehabilitation Early After Stroke Using Feedback-controlled Robotics-assisted Treadmill Exercise
ClinicalTrials.gov study NCT01679600. IPD Sharing: Not stated. Countries: 1. Publications: 5.
A Social Media Intervention for Exercise Motivation and Cardiac Rehabilitation Adherence
ClinicalTrials.gov study NCT02971813. IPD Sharing: YES. Countries: 1. Publications: 35.
Translational Research Center for TBI and Stress Disorders: Virtual Assessment of Deployment Trauma and Rehabilitation
ClinicalTrials.gov study NCT04723745. IPD Sharing: YES. Countries: 1. Publications: 41.
Sub-Acute Stroke Rehabilitation With AMES
ClinicalTrials.gov study NCT00609115. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cost-effectiveness of Forced Aerobic Exercise for Stroke Rehabilitation
ClinicalTrials.gov study NCT03819764. IPD Sharing: NO. Countries: 1. Publications: 3.
Improving SCI Rehabilitation Interventions by Retraining the Brain
ClinicalTrials.gov study NCT03892746. IPD Sharing: NO. Countries: 1. Publications: 1.
Advances in Vestibular Rehabilitation
ClinicalTrials.gov study NCT04144686. IPD Sharing: NO. Countries: 1. Publications: 37.
Acetylcholinesterase Inhibitors to Improve Cognitive Function and Overall Rehabilitation After a Stroke
ClinicalTrials.gov study NCT00227994. IPD Sharing: YES. Countries: 1. Publications: 1.
CO-OPerative Training for Stroke Rehabilitation
ClinicalTrials.gov study NCT02755805. IPD Sharing: NO. Countries: 1. Publications: 1.
Knee Biofeedback Rehabilitation Interface for Game-based Home Therapy for Patients With Knee Osteoarthritis
ClinicalTrials.gov study NCT04187092. IPD Sharing: NO. Countries: 1. Publications: 58.
Enhancing COVID Rehabilitation With Technology
ClinicalTrials.gov study NCT05019963. IPD Sharing: YES. Countries: 1. Publications: 1.
Translating Intensive Arm Rehabilitation in Stroke to a Telerehabilitation Format
ClinicalTrials.gov study NCT02665052. IPD Sharing: NO. Countries: 1. Publications: 2.
BCI-FES Therapy for Stroke Rehabilitation
ClinicalTrials.gov study NCT04279067. IPD Sharing: NO. Countries: 1. Publications: 1.
Dental Implants Rehabilitation in Patients With Vitamin D3 Imbalance
ClinicalTrials.gov study NCT04841213. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
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.