Bibliographic Details
| Title: |
The Functional Gait Deviation Index |
| Authors: |
Minhas, Sajal Kaur, Sangeux, Morgan, Polak, Julia, Carey, Michelle |
| Publication Year: |
2023 |
| Collection: |
Statistics |
| Subject Terms: |
Statistics - Applications |
| More Details: |
A typical gait analysis requires the examination of the motion of nine joint angles on the left-hand side and six joint angles on the right-hand side across multiple subjects. Due to the quantity and complexity of the data, it is useful to calculate the amount by which a subject's gait deviates from an average normal profile and to represent this deviation as a single number. Such a measure can quantify the overall severity of a condition affecting walking, monitor progress, or evaluate the outcome of an intervention prescribed to improve the gait pattern. The gait deviation index, gait profile score, and the overall abnormality measure are standard benchmarks for quantifying gait abnormality. However, these indices do not account for the intrinsic smoothness of the gait movement at each joint/plane and the potential co-variation between the joints/planes. Utilizing a multivariate functional principal components analysis we propose the functional gait deviation index (FGDI). FGDI accounts for the intrinsic smoothness of the gait movement at each joint/plane and the potential co-variation between the joints. We show that FGDI scales with overall gait function, provides a consistent measure of gait abnormality, and is implemented easily using an interactive web app.
Comment: arXiv admin comment: This version has been removed by arXiv administrators as the submitter did not have the rights to agree to the license at the time of submission |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/2310.06674 |
| Accession Number: |
edsarx.2310.06674 |
| Database: |
arXiv |
