Interferential Current Stimulation for Non-Invasive Somatotopic Sensory Feedback for Upper-Limb Prosthesis: Simulation Results using a Computable Human Phantom

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

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Abstract

The addition of sensory feedback to upper-limb prostheses has been shown to improve several aspects of the user experience. In an attempt to create an intuitive sensory feedback method, transcutaneous electrical stimulation of the stump has been used to elicit referred sensation in the phantom hand by stimulating the underlying nerves. However, the sensation at the electrodes is always reported due to the stimulation of mechanoreceptors. This work investigates the use of interferential stimulation (the superposition of two kilohertz-frequency stimulation currents to form a low-frequency envelope stimulation waveform) to produce focused and selective stimulation that reduces the sensation at the electrodes. A computable human arm phantom model was used to analyse the electric fields created by interferential stimulation against those created by low-frequency stimulation. The results support the assumption that interferential stimulation could result in reduced sensation at the electrode. However, they did not show benefits in terms of penetration at the frequency range considered. In fact, the results suggest that slightly higher currents may be required
Original languageEnglish
Title of host publication2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
PublisherIEEE
Pages765-768
Number of pages4
ISBN (Electronic)978-1-7281-4337-8
ISBN (Print)978-1-7281-4338-5
DOIs
Publication statusE-pub ahead of print - 2 Jun 2021
Event10th International IEEE EMBS Conference on Neural Engineering (IEEE NER) - Virtual
Duration: 4 May 2021 → …
https://neuro.embs.org/2021/

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2021-May
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference10th International IEEE EMBS Conference on Neural Engineering (IEEE NER)
Abbreviated titleIEEE NER
Period4/05/21 → …
Internet address

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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