Internal muscle activity imaging from multi-channel surface EMG recordings: A validation study

Yang Liu, Yong Ning, Jinbao He, Sheng Li, Ping Zhou, Yingchun Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

The developed muscle activity imaging approach (MAI) was validated with surface EMG and intramuscular EMG signals simultaneously acquired from the biceps of a healthy male subject. 128 unipolar channels were employed for surface EMG measurement and one bipolar channel was employed for simultaneous intramuscular EMG measurement for the validation purpose. Ultrasound scans were also specifically performed to localize the location of the wire electrode inserted into the biceps. The surface EMG measurements, after noise filtering and signal decomposition, were used to reconstruct the internal muscle activities for the biceps by using the MAI approach. The locations of the reconstructed muscle activities were compared against the location of the wire electrode in the biceps identified from ultrasound images. Results demonstrate the feasibility and validity of the MAI approach in imaging internal muscle activities from multi-channel surface EMG recordings.

Original languageEnglish (US)
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3559-3561
Number of pages3
ISBN (Electronic)9781424479290
DOIs
StatePublished - Nov 2 2014
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: Aug 26 2014Aug 30 2014

Publication series

Name2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period8/26/148/30/14

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering
  • Medicine(all)

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