A_DataL

Kinematic data for 18 individuals with unilateral above-knee amputations (left side only) and 42 healthy controls.
Each entry includes pelvic, hip, knee, ankle, and foot angles, sampled at 1
over the full gait cycle. Amputee data from Hood et al. (2020); control data from Fukuchi et al. (2018).

datasets

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. This R package provides tools for computing the Functional Gait Deviation Index, a novel index for quantifying gait pathology using multivariate functional principal component analysis. The package supports analysis at the level of both legs combined, individual legs, and individual joints/planes. It includes functions for functional data preprocessing, multivariate functional principal component decomposition, FGDI computation, and visualisation of gait abnormality scores. Further details can be found in Minhas, S. K., Sangeux, M., Polak, J., & Carey, M. (2025). The Functional Gait Deviation Index. Journal of Applied Statistics <doi:10.1080/02664763.2025.2514150>.

Michelle Carey

fgdiR

Functional Gait Deviation Index

Sajal Kaur Minhas

A_DataL function

A list containing the 9 kinematic variables with each list containing a data.frame with N rows and T variables, where N is 
the total number of subjects and T is the total number of time points.<dl>
 <dt>Left Pelvis Angles D2</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Left Pelvis Angles D1</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Left Pelvis Angles D3</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Left Hip Angles D2</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Left Hip Angles D1</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Left Hip Angles D3</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Left Knee Angles</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Left Ankle Angle</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Left Foot Progression Angle</dt>
<dd>numeric data.frame with N rows and T variables</dd>
</dl>

Format

Amputee Left-Side Gait Data — A_DataL

A list containing the 9 kinematic variables with each list containing a data.frame with N rows and T variables, where N is 
the total number of subjects and T is the total number of time points.<dl>
 <dt>Left Pelvis Angles D2</dt>
<dd>numeric data.frame with N rows and T variables</dd>

 <dt>Left Pelvis Angles D1</dt>
<dd>numeric data.frame with N rows and T variables</dd>

 <dt>Left Pelvis Angles D3</dt>
<dd>numeric data.frame with N rows and T variables</dd>

 <dt>Left Hip Angles D2</dt>
<dd>numeric data.frame with N rows and T variables</dd>

 <dt>Left Hip Angles D1</dt>
<dd>numeric data.frame with N rows and T variables</dd>

 <dt>Left Hip Angles D3</dt>
<dd>numeric data.frame with N rows and T variables</dd>

 <dt>Left Knee Angles</dt>
<dd>numeric data.frame with N rows and T variables</dd>

 <dt>Left Ankle Angle</dt>
<dd>numeric data.frame with N rows and T variables</dd>

 <dt>Left Foot Progression Angle</dt>
<dd>numeric data.frame with N rows and T variables</dd>


</dl>

A_DataL: Amputee Left-Side Gait Data

Description

Usage

Arguments

Format

Examples