Title
The Classification For "Equilibrium Triad" Sensory Loss Based On Semg Signals Of Calf Muscles
Abstract
Surface Electromyography (sEMG) has been commonly applied for analysing the electrical activities of skeletal muscles. The sensory system of maintaining posture balance includes vision, proprioception and vestibular senses. In this work, an attempt is made to classify whether the body is missing one of the sense during balance control by using sEMG signals. A trial of combination with different features and muscles is also developed. The results demonstrate that the classification accuracy between vision loss and the normal condition is higher than the one between vestibular sense loss and normal condition. When using different features and muscles, the impact on classification results is also different. The outcomes of this study could aid the development of sEMG based classification for the function of sensory systems during human balance movement.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8037278
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Calf muscles,Vestibular system,Computer science,Sensory loss,Electromyography,Audiology,Sensory system,Proprioception
Conference
2017
ISSN
Citations 
PageRank 
1094-687X
0
0.34
References 
Authors
4
6
Name
Order
Citations
PageRank
Hairong Yu122.41
Kairui Guo200.68
Jie Luo313616.23
Kai Cao423.43
Hung T. Nguyen537256.85
Steven W. Su621045.84