Myoelectric signals and pattern recognition from implanted electrodes in two TMR subjects with an osseointegrated communication interface
Paper in proceedings, 2018

Permanent implantation of electrodes for prosthetic control is now possible using an osseointegrated implant as a long-term stable communication interface (e-OPRA). The number of myoelectric sites to host such electrodes can be increased by Targeted Muscle Reinnervation (TMR). Traditionally, patients need to wait several months before the TMR signals are strong enough to be recorded by electrodes placed over the skin. In this study, we report the evolution of the TMR myoelectric signals recorded from two subjects via implanted electrodes using e-OPRA, and monitored for up to 48 weeks after surgery. The signals were analyzed with regard to amplitude (signal-to-noise ratio), independence (cross-correlation) and myoelectric pattern recognition (classification accuracy). TMR signals appeared at the first follow-up, one month post-surgery, and developed around 20 dB by the last. Cross-correlation between signals decreased over time and converged to a few percentage points. Classification accuracies were over 97% by the last follow up. These preliminary results suggest that implanted electrodes via the e-OPRA interface allow for an earlier and more effective use of motor signals from TMR sites compared to conventional skin surface electrodes.

myoelectric pattern recognition

myoelectric sites

e-OPRA

prosthetic control

Targeted Muscle Reinnervation

implanted electrodes

osseointegrated implant

Author

Enzo Mastinu

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Biomedical Signals and Systems

Rickard Brånemark

University of Gothenburg

University of California

Oskar C. Aszmann

Medizinische Universitaet Wien

Max Jair Ortiz Catalan

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Biomedical Signals and Systems

Integrum AB

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

1557170X (ISSN)

Vol. 2018-July 5174-5177 8513466

40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Honolulu, USA,

Subject Categories

Medical Laboratory and Measurements Technologies

Other Medical Engineering

Dentistry

DOI

10.1109/EMBC.2018.8513466

PubMed

30441505

More information

Latest update

12/10/2018