Investigation of sit-to-stand and stand-to-sit in an above knee amputee

Producción científica: Conference contributionrevisión exhaustiva

12 Citas (Scopus)

Resumen

The objective of this pilot study is twofold: 1) to extract key factors/features in sit-to-stand and stand-to-sit (STS) performed by an above knee (AK) amputee; 2) to propose a convenient way to quantify symmetry. One male unilateral transfemoral amputee participated in the pilot study. The subject was instructed to rise in a comfortable and natural manner and conduct a series of sit-to-stand, stand-to-sit. We simultaneously measured kinematics, kinetics and muscle activities. Principal component analysis (PCA) was used to reduce the dimension and identify modes and a convenient index of STS symmetry (slope of the major axis of the error ellipse) is proposed using the insole pressure sensors. Based on the preliminary results it is recommended that kinematics and kinetics in both the sagittal and frontal planes be considered for an AK amputee performing STS. The information might be useful for further research on amputee STS.

Idioma originalEnglish
Título de la publicación alojada33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Páginas7340-7343
Número de páginas4
DOI
EstadoPublished - 2011
Evento33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duración: ago 30 2011sept 3 2011

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (versión impresa)1557-170X

Conference

Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
País/TerritorioUnited States
CiudadBoston, MA
Período8/30/119/3/11

Financiación

FinanciadoresNúmero del financiador
Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentR21HD064968

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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