Paper Info
Title
Real-Time Identification of Impaired Gait Phases Using a Single Foot-Mounted Inertial Sensor: Review and Feasibility Study.
Abstract
Contextualization: Identification of gait events is a key step towards enhancing control of robotic devices for rehabilitation and/or assistance of lower limb function. -Gap: Several approaches and techniques that can properly identify gait events and phases have been developed and successfully tested in healthy subjects, but current algorithms had limited success for impaired gait. -Purpose: Here we studied the feasibility of real-time identification of gait phases for impaired subjects using a single inertial sensor on the paretic foot. - Methodology: We carried out a pilot experiment evaluating seven algorithms proposed in the literature for detection of two main events (heel-strike [HS] and toe-off [TO]) for normal and hemiparetic gait. -Results: We obtained a high performance for healthy gait indicating their suitability for real-time implementation for that population. However, we obtained a lower accuracy for all the algorithms during hemiparetic-like gait. -Conclusions: We performed a comprehensive review of the literature and evaluated the current algorithms in gait segmentation using a single inertial sensor on foot or shank for both healthy and paretic gait. Existing algorithms worked as expected in healthy but not paretic gait.
Year
Venue
Field
2018
BioRob
Inertial frame of reference,Rehabilitation,Population,Impaired gait,Gait,Computer science,Segmentation,Acceleration,Physical medicine and rehabilitation,Hidden Markov model
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Juan C. Perez-Ibarra191.35
Harry Williams200.34
Adriano a. g. Siqueira34115.59
hermano igo krebs41310.31