TY - JOUR
T1 - Mechanomyography for the Measurement of Muscle Fatigue Caused by Repeated Functional Electrical Stimulation
AU - Jo, Min
AU - Ahn, Soonjae
AU - Kim, Jongman
AU - Koo, Bummo
AU - Jeong, Youngjae
AU - Kim, Seongjung
AU - Kim, Youngho
N1 - Funding Information:
This research was supported by the Leading Human Resource Training Program of Regional Neo industry through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2016H1D5A1909760)
Publisher Copyright:
© 2018, Korean Society for Precision Engineering and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - An attempt at utilizing mechanomyography (MMG) to quantify muscle fatigue, which occurs on account of repeated functional electrical stimulations (FES), is presented. Twenty-one subjects participated in the experiment, wherein a constant electrical stimulation was repeatedly applied to the tibialis anterior muscle. MMG signals were measured simultaneously, as the stimulations were applied, and subsequently quantified using 8 different methods. Muscle fatigue was confirmed by observing linearly decreasing ankle-joint torque with the repetition of the electrical stimulation (r2 = 0.7823). The convex-hull area and volume along with peak-to-peak MMG signals were found to demonstrate significant linear relationships with muscle fatigue in spite of the weakness in motion artifacts. Use of the Lempel-Ziv algorithm, based on three symbols, provided the most accurate correlations for muscle fatigue. However, frequency-based characteristics as well as mean and median frequencies did not demonstrate any significant linearity with muscle fatigue.
AB - An attempt at utilizing mechanomyography (MMG) to quantify muscle fatigue, which occurs on account of repeated functional electrical stimulations (FES), is presented. Twenty-one subjects participated in the experiment, wherein a constant electrical stimulation was repeatedly applied to the tibialis anterior muscle. MMG signals were measured simultaneously, as the stimulations were applied, and subsequently quantified using 8 different methods. Muscle fatigue was confirmed by observing linearly decreasing ankle-joint torque with the repetition of the electrical stimulation (r2 = 0.7823). The convex-hull area and volume along with peak-to-peak MMG signals were found to demonstrate significant linear relationships with muscle fatigue in spite of the weakness in motion artifacts. Use of the Lempel-Ziv algorithm, based on three symbols, provided the most accurate correlations for muscle fatigue. However, frequency-based characteristics as well as mean and median frequencies did not demonstrate any significant linearity with muscle fatigue.
KW - Functional electrical stimulation
KW - Mechanomyography
KW - Muscle fatigue
UR - http://www.scopus.com/inward/record.url?scp=85053253997&partnerID=8YFLogxK
U2 - 10.1007/s12541-018-0166-0
DO - 10.1007/s12541-018-0166-0
M3 - Article
AN - SCOPUS:85053253997
VL - 19
SP - 1405
EP - 1410
JO - International Journal of Precision Engineering and Manufacturing
JF - International Journal of Precision Engineering and Manufacturing
SN - 2234-7593
IS - 9
ER -