TY - JOUR
T1 - Gait Detection in Children with and without Hemiplegia Using Single-Axis Wearable Gyroscopes
AU - Abaid, Nicole
AU - Cappa, Paolo
AU - Palermo, Eduardo
AU - Petrarca, Maurizio
AU - Porfiri, Maurizio
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013/9/4
Y1 - 2013/9/4
N2 - In this work, we develop a novel gait phase detection algorithm based on a hidden Markov model, which uses data from foot-mounted single-axis gyroscopes as input. We explore whether the proposed gait detection algorithm can generate equivalent results as a reference signal provided by force sensitive resistors (FSRs) for typically developing children (TD) and children with hemiplegia (HC). We find that the algorithm faithfully reproduces reference results in terms of high values of sensitivity and specificity with respect to FSR signals. In addition, the algorithm distinguishes between TD and HC and is able to assess the level of gait ability in patients. Finally, we show that the algorithm can be adapted to enable real-time processing with high accuracy. Due to the small, inexpensive nature of gyroscopes utilized in this study and the ease of implementation of the developed algorithm, this work finds application in the on-going development of active orthoses designed for therapy and locomotion in children with gait pathologies.
AB - In this work, we develop a novel gait phase detection algorithm based on a hidden Markov model, which uses data from foot-mounted single-axis gyroscopes as input. We explore whether the proposed gait detection algorithm can generate equivalent results as a reference signal provided by force sensitive resistors (FSRs) for typically developing children (TD) and children with hemiplegia (HC). We find that the algorithm faithfully reproduces reference results in terms of high values of sensitivity and specificity with respect to FSR signals. In addition, the algorithm distinguishes between TD and HC and is able to assess the level of gait ability in patients. Finally, we show that the algorithm can be adapted to enable real-time processing with high accuracy. Due to the small, inexpensive nature of gyroscopes utilized in this study and the ease of implementation of the developed algorithm, this work finds application in the on-going development of active orthoses designed for therapy and locomotion in children with gait pathologies.
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U2 - 10.1371/journal.pone.0073152
DO - 10.1371/journal.pone.0073152
M3 - Article
C2 - 24023825
AN - SCOPUS:84883314493
VL - 8
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 9
M1 - e73152
ER -