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Wrist Rigidity Evaluation in Parkinson's Disease: A Scoping Review.
Alves, Camille Marques; Rezende, Andressa Rastrelo; Marques, Isabela Alves; Mendes, Luanne Cardoso; de Sá, Angela Abreu Rosa; Vieira, Marcus Fraga; Júnior, Edgard Afonso Lamounier; Pereira, Adriano Alves; Oliveira, Fábio Henrique Monteiro; de Souza, Luciane Pascucci Sande; Bourhis, Guy; Pino, Pierre; Andrade, Adriano de Oliveira; Morère, Yann; Naves, Eduardo Lázaro Martins.
Afiliación
  • Alves CM; Assistive Technology Laboratory (NTA), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.
  • Rezende AR; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France.
  • Marques IA; Assistive Technology Laboratory (NTA), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.
  • Mendes LC; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France.
  • de Sá AAR; Centre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.
  • Vieira MF; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France.
  • Júnior EAL; Centre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.
  • Pereira AA; Assistive Technology Laboratory (NTA), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.
  • Oliveira FHM; Bioengineering and Biomechanics Laboratory (Labioeng), Federal University of Goiás, Goiânia 74690-900, Brazil.
  • de Souza LPS; Computer Graphics Laboratory (CG), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.
  • Bourhis G; Centre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.
  • Pino P; Federal Institute of Education, Science and Technology of Brasília-Brasília Campus (IFB), Brasília 70830-450, Brazil.
  • Andrade AO; Applied Physical Therapy Department, Federal University of Triangulo Mineiro, Uberaba 38025-180, Brazil.
  • Morère Y; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France.
  • Naves ELM; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France.
Healthcare (Basel) ; 10(11)2022 Oct 31.
Article en En | MEDLINE | ID: mdl-36360519
ABSTRACT
(1)

Background:

One of the main cardinal signs of Parkinson's disease (PD) is rigidity, whose assessment is important for monitoring the patient's recovery. The wrist is one of the joints most affected by this symptom, which has a great impact on activities of daily living and consequently on quality of life. The assessment of rigidity is traditionally made by clinical scales, which have limitations due to their subjectivity and low intra- and inter-examiner reliability. (2)

Objectives:

To compile the main methods used to assess wrist rigidity in PD and to study their validity and reliability, a scope review was conducted. (3)

Methods:

PubMed, IEEE/IET Electronic Library, Web of Science, Scopus, Cochrane, Bireme, Google Scholar and Science Direct databases were used. (4)

Results:

Twenty-eight studies were included. The studies presented several methods for quantitative assessment of rigidity using instruments such as force and inertial sensors. (5)

Conclusions:

Such methods present good correlation with clinical scales and are useful for detecting and monitoring rigidity. However, the development of a standard quantitative method for assessing rigidity in clinical practice remains a challenge.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Systematic_reviews Aspecto: Patient_preference Idioma: En Revista: Healthcare (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Systematic_reviews Aspecto: Patient_preference Idioma: En Revista: Healthcare (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Brasil