A new generation of double-sided intramuscular electrodes for multi-channel recording and stimulation

Wigand Poppendieck, Silvia Muceli, Jakob Dideriksen, Eduardo Rocon, Jose L Pons, Dario Farina, Klaus Peter Hoffmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this work, a new generation of intramuscular multi-channel electrode for EMG recording and muscle stimulation is presented. The electrode is based on double-sided polyimide microtechnology, and features electrode contacts on both sides of a thin polyimide filament. The structure is attached to a cannula, allowing insertion and application of the electrode system similar to conventional intramuscular wire electrodes. In the presented design, the electrode has 12 small recording sites on one side of the structure, and 3 large stimulation sites on the other side. Applications of the system include diagnosis and treatment of tremor. To this end, the electrode has been successfully tested in tremor patients. In the future, the concept will be extended to other fields of application including intraneural electrodes.

Original languageEnglish (US)
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7135-7138
Number of pages4
ISBN (Electronic)9781424492718
DOIs
StatePublished - Nov 4 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: Aug 25 2015Aug 29 2015

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2015-November
ISSN (Print)1557-170X

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period8/25/158/29/15

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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