Gait Variable Score (per-variable RMS deviation from the norm)

The Gait Variable Score (Baker et al. 2009) is the root-mean-square difference, over the gait cycle, between a subject's kinematic curve and the normative mean, computed separately for each kinematic variable (degrees).

Usage

gaitVariableScore(kinematics, norm = NULL)

Arguments

kinematics

Subject kinematics: a numeric matrix with one row per kinematic variable (row names matching norm$variables) and one column per gait-cycle point, or a named list of per-variable curves. Curves are time-normalised to the norm's cycle length via normalizeMovement().

norm

A gait_norm normative reference (from PhysioGaitNorm::loadGaitNorm()); if NULL, the default reference is loaded from PhysioGaitNorm.

Value

A named numeric vector of GVS values (degrees), one per variable.

References

Baker R, et al. (2009). Gait & Posture 30(3):265-269.

See also

gaitProfileScore(), movementAnalysisProfile()

Examples

norm <- list(variables = c("a", "b"),
             mean = matrix(0, 2, 51, dimnames = list(c("a", "b"), NULL)),
             cycle_length = 51)
gaitVariableScore(matrix(1, 2, 51, dimnames = list(c("a", "b"), NULL)), norm)
#> a b 
#> 1 1