Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9108
Title: Towards the application of one-dimensional sonomyography for powered upper-limb prosthetic control using machine learning models
Authors: Guo, JY
Zheng, YP 
Xie, HB
Koo, TK
Keywords: Artificial neural network (ANN)
back-propagation (BP)
one-dimensional sonomyography (1D SMG)
radial basis function (RBF)
skeletal muscles
support vector machine (SVM)
surface electromyography (SEMG)
ultrasound
wrist angle
Issue Date: 2013
Publisher: SAGE Publications
Source: Prosthetics and Orthotics International, 2013, v. 37, no. 1, p. 43-49 How to cite?
Journal: Prosthetics and orthotics international 
Abstract: Background: The inherent properties of surface electromyography limit its potential for multi-degrees of freedom control. Our previous studies demonstrated that wrist angle could be predicted by muscle thickness measured from B-mode ultrasound, and hence, it could be an alternative signal for prosthetic control. However, an ultrasound imaging machine is too bulky and expensive. Objective: We aim to utilize a portable A-mode ultrasound system to examine the feasibility of using one-dimensional sonomyography (i.e. muscle thickness signals detected by A-mode ultrasound) to predict wrist angle with three different machine learning models - (1) support vector machine (SVM), (2) radial basis function artificial neural network (RBF ANN), and (3) back-propagation artificial neural network (BP ANN). Study Design: Feasibility study using nine healthy subjects. Methods: Each subject performed wrist extension guided at 15, 22.5, and 30 cycles/minute, respectively. Data obtained from 22.5 cycles/minute trials was used to train the models and the remaining trials were used for cross-validation. Prediction accuracy was quantified by relative root mean square error (RMSE) and correlation coefficients (CC). Results: Excellent prediction was noted using SVM (RMSE = 13%, CC = 0.975), which outperformed the other methods. Conclusion: It appears that one-dimensional sonomyography could be an alternative signal for prosthetic control.
URI: http://hdl.handle.net/10397/9108
ISSN: 0309-3646
EISSN: 1746-1553
DOI: 10.1177/0309364612446652
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