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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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| Publicado no: | IEEE Trans Biomed Eng |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | 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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