Title :
EMG-Torque Estimation at Future Times
Author :
Koirala, Kishor ; Dasog, Meera ; Pu Liu ; Clancy, Edward A.
Author_Institution :
Worcester Polytech. Inst., Worcester, MA, USA
Abstract :
This paper investigates the ability of surface electromyogram (EMG) to estimate joint torque at future times, up to 1 s. EMG was recorded from the biceps and triceps muscles of 54 subjects during constant-posture, force-varying contractions and related to the torque produced about the elbow. EMG to joint torque was predicted up to 80 ms into the future without any changes in the minimum least square error of 5.48% of maximum voluntary contraction for the best estimation model investigated: whitened, multiple-channel EMG used with a nonlinear model. Error progressively increased for prediction times above 80 ms.
Keywords :
electromyography; least mean squares methods; medical signal processing; nonlinear estimation; torque; EMG recording; EMG-torque estimation; biceps muscles; constant-posture contractions; elbow; estimation model; force-varying contractions; joint torque estimation; maximum voluntary contraction; minimum least square error; nonlinear model; surface electromyogram; triceps muscles; whitened multiple-channel EMG; Adaptation models; Biological system modeling; Elbow; Electromyography; Muscles; Predictive models; Torque;
Conference_Titel :
Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
Conference_Location :
Syracuse, NY
Print_ISBN :
978-1-4673-4928-4
DOI :
10.1109/NEBEC.2013.88