Dynamic modeling of EMG-force relationship using parallel cascade identification

Author

Hashemi, Javad ; Hashtrudi-Zaad, Keyvan ; Morin, Evelyn ; Mousavi, Parvin

Author_Institution

Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON, Canada

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

1328

Lastpage

1331

Abstract

Parallel cascade identification (PCI) is used as a dynamic estimation tool to map surface electromyography recordings from upper-arm muscles to the elbow-induced force at the wrist. PCI mapping is composed of parallel connection of a cascade of linear dynamic and nonlinear static blocks. Experimental comparison between PCI and previously published orthogonalization scheme has shown superior force prediction by PCI. The improved performance is attributed to the structural capability of PCI in capturing nonlinear dynamic effects in the generated force.

Keywords

electromyography; medical signal processing; nonlinear dynamical systems; PCI mapping; dynamic estimation; dynamic modeling; elbow-induced force; nonlinear dynamic effects; parallel cascade identification; surface electromyography; upper-arm muscles; wrist; Dynamics; Electromyography; Force; Force measurement; Joints; Muscles; Wrist; Adult; Algorithms; Computer Simulation; Electromyography; Female; Humans; Isometric Contraction; Male; Models, Biological; Muscle, Skeletal; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626382

Filename

5626382