A new semi-automatic approach to find suitable virtual electrodes in arrays using an interpolation strategy

  • Christina Salchow | salchow@control.tu-berlin.de Control Systems Group, Technische Universität Berlin, Berlin, Germany.
  • Markus Valtin Control Systems Group, Technische Universität Berlin, Berlin, Germany.
  • Thomas Seel Control Systems Group, Technische Universität Berlin, Berlin, Germany.
  • Thomas Schauer Control Systems Group, Technische Universität Berlin, Berlin, Germany.

Abstract

Functional Electrical Stimulation via electrode arrays enables the user to form virtual electrodes (VEs) of dynamic shape, size, and position. We developed a feedback-control-assisted manual search strategy which allows the therapist to conveniently and continuously modify VEs to find a good stimulation area. This works for applications in which the desired movement consists of at least two degrees of freedom. The virtual electrode can be moved to arbitrary locations within the array, and each involved element is stimulated with an individual intensity. Meanwhile, the applied global stimulation intensity is controlled automatically to meet a predefined angle for one degree of freedom. This enables the therapist to concentrate on the remaining degree(s) of freedom while changing the VE position. This feedback-control-assisted approach aims to integrate the user's opinion and the patient's sensation. Therefore, our method bridges the gap between manual search and fully automatic identification procedures for array electrodes. Measurements in four healthy volunteers were performed to demonstrate the usefulness of our concept, using a 24-element array to generate wrist and hand extension.

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Published
2016-06-13
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2016 IFESS Conference
Keywords:
Functional electrical stimulation, Electrode arrays, Virtual electrode, Identification strategy, Feedback control
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How to Cite
Salchow, C., Valtin, M., Seel, T., & Schauer, T. (2016). A new semi-automatic approach to find suitable virtual electrodes in arrays using an interpolation strategy. European Journal of Translational Myology, 26(2). https://doi.org/10.4081/ejtm.2016.6029

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