aneurisk: Aneurisk dataset
In astamm/fdahotelling: Inference for Functional Data Analysis in R

Description Usage Format Source

Geometrical and hemodynamical features of the internal carotid artery (ICA) of 50 subjects diagnosed with a cerebral aneurysm along the ICA. Measured features were the radius and its derivative, the centerline curvature, the wall-shear-stress and its derivative and the torsion. After alignment and smoothing pre-processing steps, each feature was evaluated onto the same 512-point uniform 1-dimensional grid of curvilinear ascissa. Subjects were divided into two groups pertaining to different clinical severity of the aneurysm:

High-Risk Group.: 25 subjects affected by a severe form of the pathology (patients with an aneurysm in the upper part of the ICA),
Low-Risk Group.: 25 subjects affected by a minor form of the pathology (patients with an aneurysm in the lower part of the ICA) or healthy (without any aneurysm).

aneurisk

A data_frame with 12 rows and 4 variables:

variable: Name of the ICA feature.
group: Group status defining aneurysm severity (low or up for Low-Risk and Upper-Risk groups, respectively).
abscissa: List of numeric vectors specifying the 512-point uniform grid defining the curvilinear abscissa.
data: A list of data_frames with 25 rows and 512 variables containing the measurements of the ICA features specified in the variable column for subjects of group specified in the group column. Subjects are list by row and pointwise feature curve evaluations by column.