PrimSeq: A deep learning-based pipeline to quantitate rehabilitation training

• Avinash Parnandi ,

  Contributed equally to this work with: Avinash Parnandi, Aakash Kaku

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Neurology, New York University Langone Health, New York, United States of America

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• Aakash Kaku ,

  Contributed equally to this work with: Avinash Parnandi, Aakash Kaku

  Roles Investigation, Methodology, Software, Validation

  Affiliation Center for Data Science, New York University, New York, United States of America

  https://orcid.org/0000-0002-2631-0897

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• Anita Venkatesan,

  Roles Data curation

  Affiliation Department of Neurology, New York University Langone Health, New York, United States of America

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• Natasha Pandit,

  Roles Data curation

  Affiliation Department of Neurology, New York University Langone Health, New York, United States of America

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• Audre Wirtanen,

  Roles Data curation

  Affiliation Department of Neurology, New York University Langone Health, New York, United States of America

  https://orcid.org/0000-0003-4529-0024

  ⨯
• Haresh Rajamohan,

  Roles Investigation

  Affiliation Center for Data Science, New York University, New York, United States of America

  https://orcid.org/0000-0002-7926-9090

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• Kannan Venkataramanan,

  Roles Investigation

  Affiliation Center for Data Science, New York University, New York, United States of America

  https://orcid.org/0000-0003-3399-3267

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• Dawn Nilsen,

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Department of Rehabilitation and Regenerative Medicine, Columbia University, New York, United States of America

  https://orcid.org/0000-0003-3976-5046

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• Carlos Fernandez-Granda ,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Writing – review & editing

  * E-mail: cfgranda@cims.nyu.edu (CF-G); heidi.schambra@nyulangone.org (HS)

  ¶‡ These authors jointly supervised this work.

  Affiliations Center for Data Science, New York University, New York, United States of America, Courant Institute of Mathematical Sciences, New York University, New York, United States of America

  https://orcid.org/0000-0001-7039-8606

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• Heidi Schambra

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: cfgranda@cims.nyu.edu (CF-G); heidi.schambra@nyulangone.org (HS)

  ¶‡ These authors jointly supervised this work.

  Affiliations Department of Neurology, New York University Langone Health, New York, United States of America, Department of Rehabilitation Medicine, New York University Langone Health, New York, United States of America, Neuroscience Institute, New York University Langone Health, New York, United States of America

  https://orcid.org/0000-0002-1886-2288

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