Correlation Between Ankle Impedance and EMG Signals

Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 21)


The correlation of the lower-leg muscle contraction to the ankle impedance of unimpaired subjects is studied. Each subject participated in 5 experimental trials, each with a different co-contraction level: 0%, 10%, 20%, 30%, and 40% of their maximum voluntary contraction (MVC). A linear model is developed to relate the muscle contraction and the ankle impedance. Next, an ANOVA test is used to verify the significance of the parameters. Low correlation is found on the inversion-eversion degree-of-freedom of the ankle, suggesting non-linear models might be more effective in describing this relationship.


Unimpaired Subjects Maximal Voluntary Contraction (MVC) Lower Extremity Muscle Activation Force Plate Impedance Estimation 
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  1. 1.
    Ficanha, E.M., Ribeiro, G.A., Dallali, H., Rastgaar, M.: Design and preliminary evaluation of a Two DOFs cable-driven ankle-foot prosthesis with active dorsiflexion-plantarflexion and inversion-eversion. Front. Bioeng. Biotechnol. 4, 36 (2016)CrossRefGoogle Scholar
  2. 2.
    Kuiken, T.A., Miller, L.A., Turner, K., Hargrove, L.J.: A comparison of pattern recognition control and direct control of a multiple degree-of-freedom transradial prosthesis. IEEE J. Transl. Eng. Health Med. 4, 1–8 (2016)CrossRefGoogle Scholar
  3. 3.
    Huang, H., Kuiken, T.A., Lipschutz, R.D.: A strategy for identifying locomotion modes using surface electromyography. IEEE Trans. Biomed. Eng. 56(1), 65–73 (2009)CrossRefGoogle Scholar
  4. 4.
    Dallali, H., Knop, L., Castelino, L., Ficanha, E.M., Rastgaar, M.: Estimating the multivariable human ankle impedance in dorsi-plantarflexion and inversion-eversion directions using EMG signals and artificial neural networks. Int. J. Intell. Robot. Appl. 1(1), 19–31 (2017)CrossRefGoogle Scholar
  5. 5.
    Dallali, H., Knop, L.N., Castelino, L., Ficanha, E.M., Rastgaar, M.: Using lower extremity muscle activity to obtain human ankle impedance in the external–internal direction. Int. J. Intell. Robot. Appl. (2017)Google Scholar
  6. 6.
    Ficanha, E.M., Ribeiro, G.A., Knop, L., Rastgaar, M.: Time-varying impedance of the human ankle in the sagittal and frontal planes during straight walk and turning steps. In: Presented at the International Conference on Rehabilitation Robotics, London, pp. 1413–1418 (2017)Google Scholar
  7. 7.
    Di Giulio, I., Maganaris, C.N., Baltzopoulos, V., Loram, I.D.: The proprioceptive and agonist roles of gastrocnemius, soleus and tibialis anterior muscles in maintaining human upright posture. J. Physiol. 587(10), 2399–2416 (2009)CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Mechanical Engineering-Engineering MechanicsMichigan Technological UniversityHoughtonUSA

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