Discrimination between healthy and patients with Parkinson's disease from hand resting activity using inertial measurement unit.

Journal: Biomedical engineering online
Published Date: May 22, 2021

Abstract

BACKGROUND: Parkinson's disease (PD) is a neurological disease that affects the motor system. The associated motor symptoms are muscle rigidity or stiffness, bradykinesia, tremors, and gait disturbances. The correct diagnosis, especially in the initial stages, is fundamental to the life quality of the individual with PD. However, the methods used for diagnosis of PD are still based on subjective criteria. As a result, the objective of this study is the proposal of a method for the discrimination of individuals with PD (in the initial stages of the disease) from healthy groups, based on the inertial sensor recordings.

Authors

  • Luciano Brinck Peres
    Postgraduate Program in Electrical and Biomedical Engineering, Faculty of Electrical Engineering, Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • Bruno Coelho Calil
    Department of Information Technology, UNA Uberlândia University Center, Uberlândia, Brazil.
  • Ana Paula Sousa Paixão Barroso da Silva
    Department of Morphology, Mineiros University Center, Mineiros, Brazil.
  • Valdeci Carlos Dionísio
    Faculty of Physical Education and Physiotherapy, Federal University of Uberlândia, Uberlândia, Brazil.
  • Marcus Fraga Vieira
    Bioengineering and Biomechanics Laboratory, Federal University of Goiás, Goiânia, Brazil.
  • Adriano de Oliveira Andrade
    Postgraduate Program in Electrical and Biomedical Engineering, Faculty of Electrical Engineering, Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • Adriano Alves Pereira
    Postgraduate Program in Electrical and Biomedical Engineering, Faculty of Electrical Engineering, Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil. adriano.pereira@ufu.br.

Keywords

External Resources

Popular Topics
Recent Journals