Machine learning to extract muscle fascicle length changes from dynamic ultrasound images in real-time is a research paper published in PLoS ONE (2021). On theSindex it has a DataRank of 1.6. It has been cited 36 times, with 33 citing works in its 1-hop citation network.
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Repositories this paper deposited data in (declared in PubMed).
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Base Score Contribution
0.542
From this paper's citation signal
Citation Network Contribution
1.1
From 29 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 33 citers.
National Science Foundation
Grant: 1545287
NRT: Accessibility, Rehabilitation, and Movement Science (ARMS): An Interdisciplinary Traineeship Program in Human-Centered Robotics
National Institute of Biomedical Imaging and Bioengineering
Grant: 1R01EB023808
Natick Soldier Research, Development and Engineering Center
Grant: W911QY18C0140
National Institute on Aging
Grant: R0106052017
NIBIB NIH HHS
Grant: R01 EB023808
NIGMS NIH HHS
Grant: T32 GM008169
NIEHS NIH HHS
Grant: 27303C0140
NIA NIH HHS
Grant: R01 AG058615
National Institutes of Health
Grant: 5R01EB023808-04
SCH: INT: Wearable knee Joint Health Sensing Using Acoustical Emissions
FWCI
1.96
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals