Machine-learning models for shoulder rehabilitation exercises classification using a wearable system.

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PMID: 39154254

Abstract

PURPOSE: The objective of this study is to train and test machine-learning (ML) models to automatically classify shoulder rehabilitation exercises.

Authors

  • Martina Sassi
    Fondazione Policlinico Universitario Campus Bio-Medico di Roma, Rome, Italy.
  • Arianna Carnevale
    Fondazione Policlinico Universitario Campus Bio-Medico di Roma, Rome, Italy.
  • Matilde Mancuso
    Fondazione Policlinico Universitario Campus Bio-Medico di Roma, Rome, Italy.
  • Emiliano Schena
    Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
  • Leandro Pecchia
    School of Engineering, University of Warwick, Coventry, CV4 7AL, UK. L.Pecchia@warwick.ac.uk.
  • Umile Giuseppe Longo
    Fondazione Policlinico Universitario Campus Bio-Medico Roma Italy.

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