Literature DB >> 26710019

Prosthesis Control with an Implantable Multichannel Wireless Electromyography System for High-Level Amputees: A Large-Animal Study.

Konstantin D Bergmeister1, Marie Hader, Soeren Lewis, Michael-Friedrich Russold, Martina Schiestl, Krisztina Manzano-Szalai, Aidan D Roche, Stefan Salminger, Hans Dietl, Oskar C Aszmann.   

Abstract

BACKGROUND: Myoelectric prostheses lack a strong human-machine interface, leading to high abandonment rates in upper limb amputees. Implantable wireless electromyography systems improve control by recording signals directly from muscle, compared with surface electromyography. These devices do not exist for high amputation levels. In this article, the authors present an implantable wireless electromyography system for these scenarios tested in Merino sheep for 4 months.
METHODS: In a pilot trial, the electrodes were implanted in the hind limbs of 24 Sprague-Dawley rats. After 8 or 12 weeks, impedance and histocompatibility were assessed. In the main trial, the system was tested in four Merino sheep for 4 months. Impedance of the electrodes was analyzed in two animals. Electromyographic data were analyzed in two freely moving animals repeatedly during forward and backward gait.
RESULTS: Device implantation was successful in all 28 animals. Histologic evaluation showed a tight encapsulation after 8 weeks of 78.2 ± 26.5 µm subcutaneously and 92.9 ± 31.3 µm on the muscular side. Electromyographic recordings show a distinct activation pattern of the triceps, brachialis, and latissimus dorsi muscles, with a low signal-to-noise ratio, representing specific patterns of agonist and antagonist activation. Average electrode impedance decreased over the whole frequency range, indicating an improved electrode-tissue interface during the implantation. All measurements taken over the 4 months of observation used identical settings and showed similar recordings despite changing environmental factors.
CONCLUSION: This study shows the implantation of this electromyography device as a promising alternative to surface electromyography, providing a potentially powerful wireless interface for high-level amputees.

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Year:  2016        PMID: 26710019     DOI: 10.1097/PRS.0000000000001926

Source DB:  PubMed          Journal:  Plast Reconstr Surg        ISSN: 0032-1052            Impact factor:   4.730


  6 in total

1.  Feasibility of a Wireless Implantable Multi-electrode System for High-bandwidth Prosthetic Interfacing: Animal and Cadaver Study.

Authors:  Clemens Gstoettner; Christopher Festin; Cosima Prahm; Konstantin D Bergmeister; Stefan Salminger; Agnes Sturma; Christian Hofer; Michael F Russold; Charla L Howard; Daniel McDonnall; Dario Farina; Oskar C Aszmann
Journal:  Clin Orthop Relat Res       Date:  2022-02-23       Impact factor: 4.755

2.  Floating EMG sensors and stimulators wirelessly powered and operated by volume conduction for networked neuroprosthetics.

Authors:  Laura Becerra-Fajardo; Marc Oliver Krob; Jesus Minguillon; Camila Rodrigues; Christine Welsch; Marc Tudela-Pi; Albert Comerma; Filipe Oliveira Barroso; Andreas Schneider; Antoni Ivorra
Journal:  J Neuroeng Rehabil       Date:  2022-06-07       Impact factor: 5.208

3.  Characterization of In-Body to On-Body Wireless Radio Frequency Link for Upper Limb Prostheses.

Authors:  Antonietta Stango; Kamya Yekeh Yazdandoost; Francesco Negro; Dario Farina
Journal:  PLoS One       Date:  2016-10-20       Impact factor: 3.240

Review 4.  Neurorehabilitation in upper limb amputation: understanding how neurophysiological changes can affect functional rehabilitation.

Authors:  Lewis A Wheaton
Journal:  J Neuroeng Rehabil       Date:  2017-05-22       Impact factor: 4.262

5.  Hard-wired Epimysial Recordings from Normal and Reinnervated Muscle Using a Bone-anchored Device.

Authors:  Henry T Lancashire; Yazan Al Ajam; Robert P Dowling; Catherine J Pendegrass; Gordon W Blunn
Journal:  Plast Reconstr Surg Glob Open       Date:  2019-09-23

6.  Broadband Prosthetic Interfaces: Combining Nerve Transfers and Implantable Multichannel EMG Technology to Decode Spinal Motor Neuron Activity.

Authors:  Konstantin D Bergmeister; Ivan Vujaklija; Silvia Muceli; Agnes Sturma; Laura A Hruby; Cosima Prahm; Otto Riedl; Stefan Salminger; Krisztina Manzano-Szalai; Martin Aman; Michael-Friedrich Russold; Christian Hofer; Jose Principe; Dario Farina; Oskar C Aszmann
Journal:  Front Neurosci       Date:  2017-07-19       Impact factor: 4.677

  6 in total

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