2000
DOI: 10.1016/s0966-6362(00)00085-0
|View full text |Cite
|
Sign up to set email alerts
|

Reduction of gait data variability using curve registration

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
50
0
3

Year Published

2005
2005
2024
2024

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 60 publications
(60 citation statements)
references
References 13 publications
3
50
0
3
Order By: Relevance
“…This technique expands or compresses the time axis in order to find temporal alignment at points of interest (27). Three points of interest were identified which defined two sub-phases of the jump.…”
Section: Ground Reaction Forces In Vertical Jumpmentioning
confidence: 99%
“…This technique expands or compresses the time axis in order to find temporal alignment at points of interest (27). Three points of interest were identified which defined two sub-phases of the jump.…”
Section: Ground Reaction Forces In Vertical Jumpmentioning
confidence: 99%
“…Subtle variations in timing (possibly caused by altered speeds) can lead to inflated amplitude variability estimates (Chau et al, 2005). This can be somewhat addressed using curve registration techniques (Sadeghi et al, 2000), however such techniques are not yet widely used. Variability measured using MD without curve registration cannot currently differentiate between temporal and amplitude variability.…”
Section: Discussionmentioning
confidence: 99%
“…Como o interesse é o de avaliar a variação da performance das atletas durante a temporada competitiva para cada mudança de objetivo no treinamento físico, normalizando os resultados dos testes em relação a coleta I, esta se torna referência para a verificação e avaliação frente aos sucessivos estímulos de sobrecarga de treinamento, devido à variabilidade intersujeito (26) , que possa ocorrer como resposta ao treinamento. Para verificar a diferença entre as médias foi utilizado o teste estatístico de Friedman com medidas repetidas para dados não-paramétricos.…”
Section: Análise Estatísticaunclassified