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Citation(s)

  •   Zhang Q, Iyer A, Kim K, Sharma N
    Evaluation of Non-Invasive Ankle Joint Effort Prediction Methods for Use in Neurorehabilitation Using Electromyography and Ultrasound Imaging. IEEE Trans Biomed Eng. 2021 Mar;68(3):1044-1055. doi: 10.1109/TBME.2020.3014861. Epub 2021 Feb 18.
  •   Zhang Q, Iyer A, Sun Z, Kim K, Sharma N
    A Dual-Modal Approach Using Electromyography and Sonomyography Improves Prediction of Dynamic Ankle Movement: A Case Study. IEEE Trans Neural Syst Rehabil Eng. 2021;29:1944-1954. doi: 10.1109/TNSRE.2021.3106900. Epub 2021 Sep 27.
  •   Zhang Q, Kim K, Sharma N
    Prediction of Ankle Dorsiflexion Moment by Combined Ultrasound Sonography and Electromyography. IEEE Trans Neural Syst Rehabil Eng. 2020 Jan;28(1):318-327. doi: 10.1109/TNSRE.2019.2953588. Epub 2019 Nov 14.
  •   Zhang Q, Sheng Z, Moore-Clingenpeel F, Kim K, Sharma N
    Ankle Dorsiflexion Strength Monitoring by Combining Sonomyography and Electromyography. IEEE Int Conf Rehabil Robot. 2019 Jun;2019:240-245. doi: 10.1109/ICORR.2019.8779530.

Ultrasound Imaging Based Sensing to Predict Human Ankle Movement Intent and Assist-As-Needed Control Using Functional Electrical Stimulation and Powered Ankle Exoskeleton

Details for clinical trial NCT05249595