Logo do repositório
  • Página Inicial(current)
  • Buscar
    Por Data de PublicaçãoPor AutorPor TítuloPor Assunto
  • Tutoriais
  • Documentos
  • Sobre o RI
  • Eventos
    Repositório Institucional da UFRN: 15 anos de conexão com o conhecimento
  • Padrão
  • Amarelo
  • Azul
  • Verde
  • English
  • Português do Brasil
Entrar

SIGAA

  1. Início
  2. Pesquisar por Autor

Navegando por Autor "Tavares, Gracilene R."

Filtrar resultados informando as primeiras letras
Agora exibindo 1 - 1 de 1
  • Resultados por página
  • Opções de Ordenação
  • Carregando...
    Imagem de Miniatura
    Artigo
    Nonparametric methods in actigraphy: An update
    (2014-09-03) Gonçalves, Bruno S.B.; Cavalcanti, Paula R.A.; Tavares, Gracilene R.; Campos, Tania F.; Araujo, John F.
    Circadian rhythmicity in humans has been well studied using actigraphy, a method of measuring gross motor movement. As actigraphic technology continues to evolve, it is important for data analysis to keep pace with new variables and features. Our objective is to study the behavior of two variables, interdaily stability and intradaily variability, to describe rest activity rhythm. Simulated data and actigraphy data of humans, rats, and marmosets were used in this study. We modified the method of calculation for IV and IS by modifying the time intervals of analysis. For each variable, we calculated the average value (IVm and ISm) results for each time interval. Simulated data showed that (1) synchronization analysis depends on sample size, and (2) fragmentation is independent of the amplitude of the generated noise. We were able to obtain a significant difference in the fragmentation patterns of stroke patients using an IVm variable, while the variable IV60 was not identified. Rhythmic synchronization of activity and rest was significantly higher in young than adults with Parkinson׳s when using the ISM variable; however, this difference was not seen using IS60. We propose an updated format to calculate rhythmic fragmentation, including two additional optional variables. These alternative methods of nonparametric analysis aim to more precisely detect sleep–wake cycle fragmentation and synchronization.
Repositório Institucional - UFRN Campus Universitário Lagoa NovaCEP 59078-970 Caixa postal 1524 Natal/RN - BrasilUniversidade Federal do Rio Grande do Norte© Copyright 2025. Todos os direitos reservados.
Contato+55 (84) 3342-2260 - R232Setor de Repositórios Digitaisrepositorio@bczm.ufrn.br
DSpaceIBICT
OasisBR
LAReferencia
Customizado pela CAT - BCZM