DocumentCode :
3076618
Title :
Fast Orthogonal Search method to estimate upper arm Hill-based muscle model parameters
Author :
Mountjoy, Katherine C. ; Hashtrudi-Zaad, Keyvan ; Morin, Evelyn L.
Author_Institution :
Department of Electrical and Computer Engineering, Queen´´s University, Kingston, ON K7L 3N6 Canada
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
3720
Lastpage :
3725
Abstract :
We propose a methodology to estimate subject-specific physiological parameters of Hill-based models of upper arm muscles. The methodology uses Hill-type candidate functions in the Fast Orthogonal Search (FOS) method to predict force at the wrist during elbow flexion and extension. To this end, surface EMG data from three muscles of the upper arm were recorded from 5 subjects as they performed isometric contractions at different elbow joint angles. Estimated muscle activation level and joint angle were utilized as inputs to the FOS model to obtain subject-specific estimates of optimal joint angle the Gaussian shape parameter for the force-length relationship for each muscle.
Keywords :
Elbow; Electromyography; Force measurement; Muscles; Musculoskeletal system; Predictive models; Search methods; Ultrasonic imaging; Ultrasonic variables measurement; Wrist; Algorithms; Arm; Biomechanics; Computer Simulation; Elbow Joint; Electromyography; Equipment Design; Humans; Models, Statistical; Movement; Muscle Contraction; Muscle, Skeletal; Muscles; Normal Distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4650017
Filename :
4650017
Link To Document :
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