A_DataR

Kinematic data for 18 individuals with right-side above-knee amputations and 42 healthy controls.
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_DataR 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>Right Pelvis Angles D2</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Right Pelvis Angles D1</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Right Pelvis Angles D3</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Right Hip Angles D2</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Right Hip Angles D1</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Right Hip Angles D3</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Right Knee Angles</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Right Ankle Angle</dt>
<dd>numeric data.frame with N rows and T variables</dd> <dt>Right Foot Progression Angle</dt>
<dd>numeric data.frame with N rows and T variables</dd>
</dl>@examples
# Load the Data
data(A_DataR)

Format

Amputee Right-Side Gait Data — A_DataR

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

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

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

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

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

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

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

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

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


</dl>@examples
# Load the Data
data(A_DataR)

A_DataR: Amputee Right-Side Gait Data

Description

Usage

Arguments

Format