Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia

• Natasa Reljin ,

  Roles Formal analysis, Investigation, Software, Writing – original draft

  * E-mail: natasa.reljin@gmail.com

  Affiliation Department of Biomedical Engineering, University of Connecticut, Storrs, CT, United States of America

  http://orcid.org/0000-0001-8799-9379

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• Gary Zimmer,

  Roles Resources

  Affiliation Campbell University School of Medicine, Buies Creek, NC, United States of America

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• Yelena Malyuta,

  Roles Resources

  Affiliation Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, United States of America

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• Kirk Shelley,

  Roles Resources

  Affiliation Department of Anesthesiology, Yale University School of Medicine, New Haven, CT, United States of America

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• Yitzhak Mendelson,

  Roles Investigation, Writing – review & editing

  Affiliation Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, United States of America

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• David J. Blehar,

  Roles Validation

  Affiliation Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, United States of America

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• Chad E. Darling,

  Roles Validation, Writing – review & editing

  Affiliation Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, United States of America

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• Ki H. Chon

  Roles Funding acquisition, Investigation, Supervision, Writing – review & editing

  Affiliation Department of Biomedical Engineering, University of Connecticut, Storrs, CT, United States of America

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