Literature DB >> 19963507

Evaluation of sonomyography (SMG) for control compared with electromyography (EMG) in a discrete target tracking task.

Jing-Yi Guo1, Yong-Ping Zheng, Laurence P Kenney, Hong-Bo Xie.   

Abstract

Most of the commercial upper-limb externally powered prosthetic devices are controlled by electromyography (EMG) signals. We previously proposed using the real-time change of muscle thickness detected using ultrasound, namely sonomyography (SMG), for the control of prostheses. In this study, we compared the performance of subjects using 1-D SMG signal and surface EMG signal, using a discrete target tracking protocol involving a series of letter cancellation tasks. Each task involved using grip force, EMG or SMG from a wrist extensor muscle to move a cursor to one of 5 locations on a computer screen, at the first four of which were located a letter and last of which was a word of "NEXT". The target was defined by the location showing the letter "E" and, once the subject reached this target, they were instructed to "cancel" the E from the screen, using a button operated by the contralateral hand. A paired t-test revealed that the percentage of letters correctly cancelled with force/angle and SMG signal in isometric force control, and with SMG in wrist extension were significantly higher than with EMG (P<0.05) for both isometric control and wrist extension. The results suggest that SMG signal has great potential as an alternative to EMG for prosthetic control.

Mesh:

Year:  2009        PMID: 19963507     DOI: 10.1109/IEMBS.2009.5332398

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Electromyography and sonomyography analysis of the tibialis anterior: a cross sectional study.

Authors:  Antonio I Cuesta-Vargas; Maria Ruiz-Muñoz
Journal:  J Foot Ankle Res       Date:  2014-02-08       Impact factor: 2.303

Review 2.  Control Methods for Transradial Prostheses Based on Remnant Muscle Activity and Its Relationship with Proprioceptive Feedback.

Authors:  Stefan Grushko; Tomáš Spurný; Martin Černý
Journal:  Sensors (Basel)       Date:  2020-08-28       Impact factor: 3.576

  2 in total

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