Application of machine learning to the identification of joint degrees of freedom involved in abnormal movement during upper limb prosthesis use

• Sophie L. Wang,

  Roles Data curation, Formal analysis, Visualization, Writing – original draft, Writing – review & editing

  Affiliations Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, United States of America, Department of Bioengineering, University of Maryland, College Park, Maryland, United States of America

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• Conor Bloomer,

  Roles Data curation, Methodology, Writing – review & editing

  Affiliation Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, United States of America

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• Gene Civillico,

  Roles Visualization, Writing – review & editing

  Affiliation Office of the National Institutes of Health Director, National Institutes of Health, Bethesda, Maryland, United States of America

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• Kimberly Kontson

  Roles Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Resources, Supervision, Visualization, Writing – review & editing

  * E-mail: Kimberly.Kontson@fda.hhs.gov

  Affiliation Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, United States of America

  https://orcid.org/0000-0002-4978-6011

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