Literature DB >> 18322900

[Selective nerve transfers to improve the control of myoelectrical arm prostheses].

O C Aszmann1, H Dietl, M Frey.   

Abstract

To date, the movement of myoelectrical arm prostheses proceeds via two transcutaneous electrodes that are controlled by two separately innervated muscle groups. The various control levels are chosen by co-contractions of these muscles and the respective level is linearly controlled by the same muscles. A harmonious course of movement as in the corresponding natural pattern of motion is not possible in this way. An appreciable improvement would be given by the control of the individual movement levels by signals that correspond neuronally with the natural pattern of motion. Just recently, prostheses with six control levels have been realised technically. The objective is to separate the major arm nerves, such as the musculocutaneous nerve, radial nerve, median nerve and ulnar nerve, from the proximal arm nerve plexus and to transfer them to the residual nerve branches of muscles near the stem in order to create meaningful neuromuscular units that can serve as impulse sources for myoelectrical prosthesis. As target muscles, above all, one can consider the major/minor pectoral muscles or, respectively, the latissimus muscle. According to the activity of the donor nerves, these muscles would contract and control the prosthesis via transcutaneous electrode. In this way, a harmonious control corresponding intuitively to the natural pattern of movement would be possible without the necessity for the patient to continuously switch between the various control levels. Prerequisites for this are intact proximal muscle groups and a more or less intact arm nerve plexus with the possibility to isolate donor nerves according to the topographic-anatomic situation. For this reason, a preoperative MRI examination, a high resolution sonographic study and balancing NLG and EMG of the residual nerve plexus are necessary. For the preoperative planning phase as well as for the postoperative follow-up, a detailed procedure has been established, in cooperation with the innovation department of the Otto Bock company, to create the most meaningful switch levels, to optimise electrode placement as well as to clarify prosthesis incorporation. Finally, a complex rehabilitation programme is necessary for the patient to achieve an optimal result.

Entities:  

Mesh:

Year:  2008        PMID: 18322900     DOI: 10.1055/s-2007-989415

Source DB:  PubMed          Journal:  Handchir Mikrochir Plast Chir        ISSN: 0722-1819            Impact factor:   1.018


  8 in total

Review 1.  [Prosthetic reconstruction in high amputations of the upper extremity].

Authors:  S Salminger; A Sturma; M Herceg; O Riedl; K Bergmeister; O C Aszmann
Journal:  Orthopade       Date:  2015-06       Impact factor: 1.087

Review 2.  [Prosthetic reconstruction of the upper extremity].

Authors:  S Salminger; J A Mayer; A Sturma; O Riedl; K D Bergmeister; O C Aszmann
Journal:  Unfallchirurg       Date:  2016-05       Impact factor: 1.000

3.  Prosthetic rehabilitation of the upper limb amputee.

Authors:  Bernard O'Keeffe
Journal:  Indian J Plast Surg       Date:  2011-05

Review 4.  Hand Transplantation Versus Hand Prosthetics: Pros and Cons.

Authors:  S Salminger; A D Roche; A Sturma; J A Mayer; O C Aszmann
Journal:  Curr Surg Rep       Date:  2016-01-27

5.  Motor Unit Characteristics after Targeted Muscle Reinnervation.

Authors:  Tamás Kapelner; Ning Jiang; Aleš Holobar; Ivan Vujaklija; Aidan D Roche; Dario Farina; Oskar C Aszmann
Journal:  PLoS One       Date:  2016-02-22       Impact factor: 3.240

6.  Experimental nerve transfer model in the rat forelimb.

Authors:  K D Bergmeister; M Aman; O Riedl; K Manzano-Szalai; M E Sporer; S Salminger; O C Aszmann
Journal:  Eur Surg       Date:  2016-02-01       Impact factor: 0.953

Review 7.  Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review.

Authors:  Andrés Jaramillo-Yánez; Marco E Benalcázar; Elisa Mena-Maldonado
Journal:  Sensors (Basel)       Date:  2020-04-27       Impact factor: 3.576

8.  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

  8 in total

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