Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds.

Journal: Computers in biology and medicine
Published Date: Feb 21, 2018

Abstract

BACKGROUND: Muscle activation level is currently being captured using impractical and expensive devices which make their use in telemedicine settings extremely difficult. To address this issue, a prototype is presented of a non-invasive, easy-to-install system for the estimation of a discrete level of muscle activation of the biceps muscle from 3D point clouds captured with RGB-D cameras.

Authors

  • Leandro Abraham
    Laboratorio DHARMa, DeSI, Universidad Tecnológica Nacional, Facultad Regional Mendoza - Rodriguez 273, PC M5502AJE Mendoza, Argentina; CEAL, Universidad Nacional de Cuyo, Facultad de Ingeniería - Centro Universitario CC 405, PC M5500AAT Mendoza, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina. Electronic address: leandro.abraham@frm.utn.edu.ar.
  • Facundo Bromberg
    Laboratorio DHARMa, DeSI, Universidad Tecnológica Nacional, Facultad Regional Mendoza - Rodriguez 273, PC M5502AJE Mendoza, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina. Electronic address: fbromberg@frm.utn.edu.ar.
  • Raymundo Forradellas
    CEAL, Universidad Nacional de Cuyo, Facultad de Ingeniería - Centro Universitario CC 405, PC M5500AAT Mendoza, Argentina. Electronic address: kike@uncu.edu.ar.

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