title: Instability prediction by monitoring center of pressure during standing.
abstract: Incorporating an instability predictor into a portable sensor has a number of clinically relevant applications. This study investigated the feasibility of developing a real-time assessment tool to predict stepping during standing by monitoring Center of Pressure (COP) measurements. Forward and backward perturbations were performed on 16 able-bodied subjects using a pulley system attached to the subjects' waist. A linear relationship was found between the peak COP velocity (COPv) and the peak COP position caused by the perturbations. As the peak COPv occurs considerably before the peak COP, the peak COP estimated using a regression equation from the peak COPv may serve as an instability predictor. By comparing stepping thresholds with the estimated peak COP, we found that the stepping predictor successfully predicted instability (stepping) earlier than those predictors using actual COP. Results show that the proposed model is a viable solution to predict stepping, and the feasibility of incorporating the model into a neuroprosthesis system for standing.
authors.affiliation: Institute of Biomaterials & Biomedical Engineering, University of Toronto, ON, Canada. xavier.tortolero@utoronto.ca
authors.forename: Xavier
authors.initials: X
authors.lastname: Tortolero
authors.forename: Kei
authors.initials: K
authors.lastname: Masani
authors.forename: Timothy A
authors.initials: TA
authors.lastname: Thrasher
authors.forename: Milos R
authors.initials: MR
authors.lastname: Popovic
mesh_terms: D000328:Adult; D001696:Biomechanical Phenomena; D004867:Equipment Design; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D008297:Male; D018670:Monitoring, Ambulatory / Q000379:methods; D004856:Postural Balance; D011187:Posture; D011312:Pressure; D012044:Regression Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013997:Time Factors