Paper Info
Title
Bipedal gait model for precise gait recognition and optimal triggering in foot drop stimulator: a proof of concept.
Abstract
Electrical stimulators are often prescribed to correct foot drop walking. However, commercial foot drop stimulators trigger inappropriately under certain non-gait scenarios. Past researches addressed this limitation by defining stimulation control based on automaton of a gait cycle executed by foot drop of affected limb/foot only. Since gait is a collaborative activity of both feet, this research highlights the role of normal foot for robust gait detection and stimulation triggering. A novel bipedal gait model is proposed where gait cycle is realized as an automaton based on concurrent gait sub-phases (states) from each foot. The input for state transition is fused information from feet-worn pressure and inertial sensors. Thereafter, a bipedal gait model-based stimulation control algorithm is developed. As a feasibility study, bipedal gait model and stimulation control are evaluated in real-time simulation manner on normal and simulated foot drop gait measurements from 16 able-bodied participants with three speed variations, under inappropriate triggering scenarios and with foot drop rehabilitation exercises. Also, the stimulation control employed in commercial foot drop stimulators and single foot gait-based foot drop stimulators are compared alongside. Gait detection accuracy (98.9%) and precise triggering under all investigations prove bipedal gait model reliability. This infers that gait detection leveraging bipedal periodicity is a promising strategy to rectify prevalent stimulation triggering deficiencies in commercial foot drop stimulators. Graphical abstract Bipedal information-based gait recognition and stimulation triggering.
Year
DOI
Venue
2018
10.1007/s11517-018-1810-7
Med. Biol. Engineering and Computing
Keywords
Field
DocType
Walk,Dual feet,Foot drop,Functional electrical stimulation,Finite state modelling
Computer vision,Functional electrical stimulation,Gait,Foot drop,Postural Balance,Foot (unit),Proof of concept,Inertial measurement unit,Artificial intelligence,Physical medicine and rehabilitation,Mathematics,Normal foot
Journal
Volume
Issue
ISSN
56
9
0140-0118
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Muhammad Faraz Shaikh111.07
Zoran Salcic255382.51
Kevin I-Kai Wang316729.65
Aiguo Patrick Hu49616.86