title: Real-time gait event detection for normal subjects from lower trunk accelerations.
abstract: In this paper we report on a novel algorithm for the real-time detection and timing of initial (IC) and final contact (FC) gait events. We process the vertical and antero-posterior accelerations registered at the lower trunk (L3 vertebra). The algorithm is based on a set of heuristic rules extracted from a set of 1719 steps. An independent experiment was conducted to compare the results of our algorithms with those obtained from a Digimax force platform. The results show small deviations from times of occurrence of events recorded from the platform (13+/-35 ms for IC and 9+/-54 ms for FC). Results for the FC timing are especially relevant in this field, as no previous work has addressed its temporal location through the processing of lower trunk accelerations. The delay in the real-time detection of the IC is 117+/-39 ms and 34+/-72 ms for the FC, improving previously reported results for real-time detection of events from lower trunk accelerations.
authors.affiliation: University of Oviedo, Department of Electrical Engineering, Gijón, Asturias, Spain.
authors.forename: Rafael C
authors.initials: RC
authors.lastname: González
authors.forename: Antonio M
authors.initials: AM
authors.lastname: López
authors.forename: Javier
authors.initials: J
authors.lastname: Rodriguez-Uría
authors.forename: Diego
authors.initials: D
authors.lastname: Alvarez
authors.forename: Juan C
authors.initials: JC
authors.lastname: Alvarez
mesh_terms: D000054:Acceleration; D000328:Adult; D000465:Algorithms; D005260:Female; D005684:Gait / Q000502:physiology*; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted; D013909:Thorax / Q000502:physiology*