Title :
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
fDate :
Aug. 31 2010-Sept. 4 2010
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626382
