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Wireless IMU- and EMG-Sensors for Controlled Functional Electrical Stimulation

  • C. WiesenerEmail author
  • E. Ambrosini
  • L. Blankenfeld
  • S. Schneider
  • B. Grzywacz
  • T. Schauer
Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 21)

Abstract

This contribution describes wireless IMU- and EMG-sensors for the control of Functional Electrical Stimulation that have been developed within the European project RETRAINER. Combined IMU- and EMG-sensors shall be integrated into the RETRAINER exoskeleton (S1 system) for estimation of the arm posture and for EMG-triggered stimulation. IMU-sensors shall be used within the RETRAINER hand neuroprosthesis (S2 system) to estimate the finger and hand motion. Both sensor types are Bluetooth 5 ready and incorporate a powerful Cortex M4F processor. Data preprocessing, like orientation estimation and adaptive linear prediction EMG filtering for estimating residual volitional muscle activity, can be implemented directly on the wireless sensors. This reduces the data rate significantly down to the stimulation frequency.

References

  1. 1.
    Ambrosini, E., et al.: The combined action of a passive exoskeleton and an EMG-controlled neuroprosthesis for upper limb stroke rehabilitation: first results of the RETRAINER project. In: IEEE International Conference on Rehabilitation Robotics (2017)Google Scholar
  2. 2.
    Ambrosini, E., et al.: A myocontrolled neuroprosthesis integrated with a passive exoskeleton to support upper limb activities. J. Electromyogr. Kinesiol. 24(2), 307–317 (2014)CrossRefGoogle Scholar
  3. 3.
    Crema, A., Malesevic, N., Furfaro, I., Raschella, F., Pedrocchi, A., Micera, S.: A wearable multi-site system for NMES-based hand function restoration. IEEE Trans. Neural Syst. Rehabil. Eng. 26(2), 428–440 (2018)CrossRefGoogle Scholar
  4. 4.
    Seel, T., Ruppin, S.: Eliminating the effect of magnetic disturbances on the inclination estimates of inertial sensors. IFAC-PapersOnLine 50(1), 8798–8803 (2017). 20th IFAC World CongressCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • C. Wiesener
    • 1
    Email author
  • E. Ambrosini
    • 2
  • L. Blankenfeld
    • 1
  • S. Schneider
    • 1
  • B. Grzywacz
    • 1
  • T. Schauer
    • 1
  1. 1.Control Systems Group of TU BerlinBerlinGermany
  2. 2.Department of ElectronicsInformation and Bioengineering at Politecnico di MilanoMilanItaly

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