Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/2373
Title: Performances of one-dimensional sonomyography and surface electromyography in tracking guided patterns of wrist extension
Authors: Guo, JY
Zheng, YP 
Huang, QH
Chen, X
He, J
Chan, HLW 
Keywords: Ultrasound
Sonomyography
SMG
Electromyography
EMG
Muscle
Prosthetic control
Issue Date: Jun-2009
Publisher: Elsevier for the World Federation for Ultrasound in Medicine and Biology
Source: Ultrasound in medicine and biology, June 2009, v. 35, no. 6, p. 894-902 How to cite?
Journal: Ultrasound in medicine and biology 
Abstract: Electromyography (EMG) and ultrasonography have been widely used for skeletal muscle assessment. Recently, it has been demonstrated that the muscle thickness change collected by ultrasound during contraction, namely sonomyography (SMG), can also be used for assessment of muscles and has the potential for prosthetic control. In this study, the performances of one-dimensional sonomyography (1D SMG) and surface EMG (SEMG) signal in tracking the guided patterns of wrist extension were evaluated and compared, and the potential of 1D SMG for skeletal muscle assessment and prosthetic control was investigated. Sixteen adult normal subjects including eight males and eight females participated in the experiment. The subject was instructed to perform the wrist extension under the guidance of displayed sinusoidal, square and triangular waveforms at movement rates of 20, 30, 50 cycles per min. SMG and SEMG root mean squares (RMS) were collected from the extensor carpi radialis, respectively, and their RMS errors in relation to the guiding signals were calculated and compared. It was found that the mean RMS tracking errors of SMG under different movement rates were 18.9% ± 2.6% (mean ± SD), 18.3% ± 4.5%, and 17.0% ± 3.4% for sinusoidal, square and triangular guiding waveforms, while the corresponding values for SEMG were 30.3% ± 0.4%, 29.0% ± 2.7% and 24.7% ± 0.7%, respectively. Paired t test showed that the RMS errors of SMG tracking were significantly smaller than those of SEMG. Significant differences in RMS tracking errors of SMG among the three movement rates (p<0.01) for all the guiding waveforms were also observed using one-way analysis of variance (ANOVA). The results suggest that SMG signal, based on further improvement, has great potential to be an alternative method to SEMG to evaluate muscle function and control prostheses.
URI: http://hdl.handle.net/10397/2373
ISSN: 0301-5629
DOI: 10.1016/j.ultrasmedbio.2008.11.017
Rights: Ultrasound in Medicine and Biology © 2009 World Federation for Ultrasound in Medicine & Biology. The journal web site is located at http://www.sciencedirect.com.
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