DocumentCode
631893
Title
Using forearm circumference for automatic threshold calibration for simple EMG control
Author
Cannan, James ; Huosheng Hu
Author_Institution
Comput. Sci. & Electron. Eng. Dept., Univ. of Essex, Colchester, UK
fYear
2013
fDate
9-12 July 2013
Firstpage
1476
Lastpage
1481
Abstract
Training and calibration is normally required for the users of Electromyographic (EMG) control systems, which can require a lot of time and expertise. It is necessary to reduce training and calibration so that EMG control can be deployed in real-world applications, with minimal hassle. Based on our previous work, this paper investigates a novel method of using an automatic circumference measuring device to determine forearm circumference, in order to estimate maximum voluntary contraction (MVC) via linear regression. MVC is commonly used for threshold adjustment, hence automatic estimation can be used to auto-calibrate EMG thresholds. A new load cell based automatic measuring circumference device is demonstrated, and an experiment is performed which confirms the potential of using forearm circumference for estimating MVC. Experimental results confirm the feasibility of the concept, and the performance of the developed device.
Keywords
calibration; electromyography; medical signal processing; autocalibrate EMG thresholds; automatic threshold calibration; electromyographic control systems; forearm circumference; linear regression; load cell-based automatic circumference measuring device; maximum voluntary contraction estimation; real-world applications; simple EMG control; threshold adjustment; Accuracy; Calibration; Electrodes; Electromyography; Force; Muscles; Wrist; Anthropometric; Auto calibration; Circumference; Electromyography (EMG); Maximum Voluntary Contraction (MVC);
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location
Wollongong, NSW
ISSN
2159-6247
Print_ISBN
978-1-4673-5319-9
Type
conf
DOI
10.1109/AIM.2013.6584303
Filename
6584303
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