@inproceedings{607f663299a84b75bfc5a11ae4f1b941,
title = "Internal muscle activity imaging from multi-channel surface EMG recordings: A validation study",
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.",
author = "Yang Liu and Yong Ning and Jinbao He and Sheng Li and Ping Zhou and Yingchun Zhang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 ; Conference date: 26-08-2014 Through 30-08-2014",
year = "2014",
month = nov,
day = "2",
doi = "10.1109/EMBC.2014.6944391",
language = "English (US)",
series = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3559--3561",
booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
address = "United States",
}