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Classify gait pathology patterns from a bundle of gait variables

Source: R/gait-pathology.R
classifyGaitPatterns.Rd

Runs each applicable detector on the supplied gait-cycle waveforms and returns a per-pattern flag and severity. A pattern is evaluated only when its input variable is present in variables.

Usage

classifyGaitPatterns(variables, params = list())

Arguments

variables

A named list of gait-cycle waveforms. Recognised names: knee_flexion, ankle_power, foot_ml, pelvic_obliquity.

params

Optional named list of per-pattern argument lists forwarded to the individual detectors (e.g. list(stiff_knee = list(threshold = 40))).

Value

A data frame (class gait_pattern_classification) with columns pattern, flagged, severity, metric, threshold, one row per evaluated pattern.

See also

gaitPatternLibrary()

Examples

vars <- list(knee_flexion = 60 * sin(seq(0, pi, length.out = 101)))
classifyGaitPatterns(vars)
#> Gait pathology classification:
#>   stiff_knee         normal (severity 0.06)