Paper Info
Title
Ankle-angle analysis of drop-foot patients in walking with FES
Abstract
The purpose of this study is to develop a potential method to quantify the effect of functional electrical stimulation (FES) on hemiplegic drop-foot (HDF) patients' movements. This method evaluates the effect of FES by comparing the ankle-angles of movements with and without FES. The change of the ankle-angles is one of the significant characteristics of the recovery of drop-foot. Therefore, this measurement method evaluates FES-assisted walking quantitatively through biomechanical properties of human gait. A group of subjects were asked to walk in the laboratory. Their walking performance was recorded by Vicon motion capture system. For each subject, a static trial and six walking trials were recorded. The data were sent to computer to establish the 3D model by Vicon Nexus software to calculate the ankle-angles of the drop-foot. The changes of the ankle-angles are obvious in the graphs. Statistical data analysis procedure for hypothesis testing was used to get a reliable result. Ankle-angles of movements were calculated to P values (P<;0.05). The results show that FES is effective and the method is reliable. These clinical trial results suggest that using motion capture is a reliable and practicable way to evaluate hemiplegic drop-foot patients' dorsiflexion. This method will probably be used in carrying out a potential optimized stimulation intensity envelope for hemiplegic drop-foot stimulator. And the biomechanics of the ankle joint during the gait cycle also provide a way to the stroke patients to observe their recovery.
Year
DOI
Venue
2012
10.1109/ROBIO.2012.6491071
ROBIO
Keywords
Field
DocType
hdf,diseases,neuromuscular stimulation,biomedical optical imaging,statistical analysis,legged locomotion,ankle-angle analysis,vicon motion capture system,functional electrical stimulation,drop-foot patients,statistical data analysis,biomechanical properties,patient rehabilitation,fes,bioelectric phenomena,gait analysis,hemiplegic drop-foot
Motion capture,Graph,Functional electrical stimulation,Gait cycle,Control theory,Biomechanics,Gait (human),Engineering,Physical medicine and rehabilitation,Statistical hypothesis testing,Ankle
Conference
ISBN
Citations 
PageRank 
978-1-4673-2125-9
1
0.40
References 
Authors
2
6
Name
Order
Citations
PageRank
Ningjia Yang170.93
Feng Duan28727.49
Sicen Liu310.40
Lili Dai441.85
Jeffrey Too Chuan Tan56415.49
Binbin Xu6204.96