EMG-Torque Estimation at Future Times

Author

Koirala, Kishor ; Dasog, Meera ; Pu Liu ; Clancy, Edward A.

Author_Institution

Worcester Polytech. Inst., Worcester, MA, USA

fYear

2013

fDate

5-7 April 2013

Firstpage

59

Lastpage

60

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference (NEBEC), 2013 39th Annual Northeast

Conference_Location

Syracuse, NY

ISSN

2160-7001

Print_ISBN

978-1-4673-4928-4

Type

conf

DOI

10.1109/NEBEC.2013.88

Filename

6574356