Document Detail


Basic study on combined motion estimation using multichannel surface EMG signals.
MedLine Citation:
PMID:  22256163     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To improve degree of freedom (DOF) of system control using surface electromyogram (SEMG), we made a basic study of the estimation of user's intended motion including combined motion which is performed by more than one basic motion simultaneously. Our developed system requested to obtain three SEMG characteristics of basic motion and one SEMG characteristics of rest state. This study defines the motion of grasp, supination and pronation as basic motion, and two combined motion which is "grasp +supination" and "grasp + pronation" are set. Our system investigates the possibility of combined motion estimation based on SEMG characteristics of basic motions. Estimation method which is utilizing optimal SEMG that are derived from multichannel SEMG signals is performed by canonical discriminant space and tendency of degree of similarity between combined motion and basic motion. In experimental results, we succeeded in estimation of combined motion although it was included an estimation of basic motions which were constructed elements of combined motion.
Authors:
Kentaro Nagata; Kazushige Magatani
Related Documents :
21890293 - Forged seal detection based on the seal overlay metric.
3762223 - An on-line spike form discriminator for extracellular recordings based on an analog cor...
17271533 - Coherent backscattering spectroscopy: a new technique for tissue diagnosis.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2011     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2011  
Date Detail:
Created Date:  2012-01-18     Completed Date:  2012-05-31     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  7865-8     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Discriminant Analysis
Electrodes
Electromyography / methods*
Forearm / physiology
Hand Strength / physiology
Humans
Motion*
Signal Processing, Computer-Assisted
Supination / physiology
Surface Properties

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Programming an offline-analyzer of motor imagery signals via python language.
Next Document:  A system for activity recognition using multi-sensor fusion.