Author
Listed:
- Jorge Barrios-Muriel
- Francisco Romero Sánchez
- Francisco Javier Alonso Sánchez
- David Rodríguez Salgado
Abstract
When designing any rehabilitation, sportswear or exoskeleton device the mechanical behaviour of the body segment must be known, specifically the skin, because an excessive tissue strain may lead to ulceration and bedsores. To date, it is not known if the kinematic variability between subjects have an effect on the skin strain field, and therefore, in the design and manufacturing of rehabilitation products, such as orthoses. Several studies have analysed the skin deformation during human motion, nevertheless, the comparison between the skin strain field in different subjects during normal or pathological gait has not been reported yet. This work presents a comparison of skin strain analysis for different gait patterns to study the differences between people and, specifically, if it is possible to standardize the orthotic design between subjects with the same gait disorder. Moreover, the areas with relatively minimum strain during the ankle-foot motion are compared to improve the design of structural parts of rehabilitation devices. In this case, a validated 3D digital image correlation system has been used for this purpose combined with strain ellipse theory. The results demonstrate variations in the skin strain field between subjects with the same pathology and similarities between subjects with normal gait. However, more studies and experiments are necessaries to validate this hypothesis and also to test it between different gait pathologies.
Suggested Citation
Jorge Barrios-Muriel & Francisco Romero Sánchez & Francisco Javier Alonso Sánchez & David Rodríguez Salgado, 2019.
"In vivo measurement of surface skin strain during human gait to improve the design of rehabilitation devices,"
Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 22(15), pages 1219-1228, November.
Handle:
RePEc:taf:gcmbxx:v:22:y:2019:i:15:p:1219-1228
DOI: 10.1080/10255842.2019.1655549
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