BioMed Research International / 2015 / Article / Tab 1 / Research Article
The Discriminant Value of Phase-Dependent Local Dynamic Stability of Daily Life Walking in Older Adult Community-Dwelling Fallers and Nonfallers Table 1 The gait features contained in the three predictor matrices
used in the partial least square discriminatory analysis (PLS-DA) of elderly fallers and nonfallers. The gait features written in italic style are the same features used in Weiss et al. (2013) [
13 ].
Predictor matrix (46 gait features) Predictor matrix (38 gait features) Predictor matrix (8 gait features) (phase: 0%, (1 ))— (phase: 0%, (1 )) (phase: 0%, (2 ))— (phase: 0%, (2 )) (phase: 60%, (1 ))— (phase: 60%, (1 )) (phase: 60%, (2 ))— (phase: 60%, (2 )) (phase: 0%, (1 ))— (phase: 0%, (1 )) (phase: 0%, (2 ))— (phase: 0%, (2 )) (phase: 60%, (1 ))— (phase: 60%, (1 )) (phase: 60%, (2 ))— (phase: 60%, (2 ))— Acceleration range Acceleration range — Acceleration root-mean-square Acceleration root-mean-square — Amplitude of dominant frequency Amplitude of dominant frequency — Average stride duration Average step duration — Average step duration Average step duration — Cadence Cadence — Harmonic ratio Harmonic ratio — Median walking bout duration Median walking bout duration — Median number of steps for bout Median number of steps for bout — Slope of dominant frequency Slope of dominant frequency — Step symmetry Step symmetry — Step regularity Step regularity — Stride regularity Stride regularity — Total number of steps Total number of steps — Total number of walking bouts Total number of walking bouts — Total percent of walking duration Total percent of walking duration — Width of dominant frequency Width of dominant frequency —
Gait feature defined for AP, ML, and V direction, separately.