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Neurorobotic Models of Neurological Disorders: A Mini Review.
Pronin, Savva; Wellacott, Liam; Pimentel, Jhielson; Moioli, Renan C; Vargas, Patricia A.
Afiliação
  • Pronin S; Robotics Laboratory, Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom.
  • Wellacott L; College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, United Kingdom.
  • Pimentel J; Robotics Laboratory, Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom.
  • Moioli RC; Robotics Laboratory, Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom.
  • Vargas PA; Bioinformatics Multidisciplinary Environment, Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, Brazil.
Front Neurorobot ; 15: 634045, 2021.
Article em En | MEDLINE | ID: mdl-33828474
ABSTRACT
Modeling is widely used in biomedical research to gain insights into pathophysiology and treatment of neurological disorders but existing models, such as animal models and computational models, are limited in generalizability to humans and are restricted in the scope of possible experiments. Robotics offers a potential complementary modeling platform, with advantages such as embodiment and physical environmental interaction yet with easily monitored and adjustable parameters. In this review, we discuss the different types of models used in biomedical research and summarize the existing neurorobotics models of neurological disorders. We detail the pertinent findings of these robot models which would not have been possible through other modeling platforms. We also highlight the existing limitations in a wider uptake of robot models for neurological disorders and suggest future directions for the field.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Neurorobot Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Neurorobot Ano de publicação: 2021 Tipo de documento: Article