NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks is a research paper published in Sensors (2021). On theSindex it has a DataRank of 0. It has been cited 6 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
NINDS NIH HHS
Grant: K02 NS104207
Fundação de Amparo à Pesquisa do Estado de São Paulo
Grant: 15/14358-0
National Institutes of Health
Grant: R01 LM013316
American Heart Association fellowship
Grant: 19AMTG35210398
National Science Foundation
Grant: 1828576
MRI: Development of Reconfigurable Environmental Intelligence Platform
National Science Foundation
Grant: 1533564
AitF: FULL: Collaborative Research: Provably Efficient GPU Algorithms
National Institutes of Health
Grant: 5K02NS104207-03
Quantitative Rehabilitation after Stroke
National Science Foundation
Grant: 1730396
CRI: II-New: An Infrastructure of Display Devices to Study Visual Analytics Beyond the Desktop
National Institutes of Health
Grant: 1R01LM013316-01
Learning invariant representation from high- dimensional data for quantitative stroke reha
National Science Foundation
Grant: 1229185
MRI: Acquisition of an Infrastructure for Prototyping Next-Generation Algorithms for Large-Scale Visualization, Data Processing and Analysis
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals