Acoustical Emission Analysis by Unsupervised Graph Mining: A Novel Biomarker of Knee Health Status

OBJECTIVE: To study knee acoustical emission patterns in subjects with acute knee injury immediately following injury and several months after surgery and rehabilitation. METHODS: We employed an unsupervised graph mining algorithm to visualize heterogeneity of the high-dimensional acoustical emissio...

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Bibliografiske detaljer
Udgivet i:IEEE Trans Biomed Eng
Main Authors: Hersek, Sinan, Pouyan, Maziyar Baran, Teague, Caitlin N., Sawka, Michael N., Millard-Stafford, Mindy L., Kogler, Geza F., Wolkoff, Paul, Inan, Omer T.
Format: Artigo
Sprog:Inglês
Udgivet: 2017
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6038802/
https://ncbi.nlm.nih.gov/pubmed/28858782
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2017.2743562
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