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. 2008:2008:193-6.
doi: 10.1109/IEMBS.2008.4649123.

Decoding individuated finger flexions with Implantable MyoElectric Sensors

Justin J Baker  1 , Dimitri Yatsenko, Jack F Schorsch, Glenn A DeMichele, Phil R Troyk, Douglas T Hutchinson, Richard F ff Weir, Gregory Clark, Bradley Greger
Affiliations

Decoding individuated finger flexions with Implantable MyoElectric Sensors

Justin J Baker et al. Annu Int Conf IEEE Eng Med Biol Soc. 2008.

Abstract

We trained a rhesus monkey to perform randomly cued, individuated finger flexions of the thumb, index, and middle finger. Nine Implantable MyoElectric Sensors (IMES) were then surgically implanted into the finger muscles of the monkey's forearm, without any observable adverse chronic effects. Using an inductive link, we wirelessly recorded EMG from the IMES as the monkey performed a finger flexion task. A principal components analysis (PCA) based algorithm was used to decode which finger switch was pressed based on the recorded EMG. This algorithm correctly decoded which finger was moved 89% of the time. These results demonstrate that IMES offer a safe and highly promising approach for providing intuitive, dexterous control of artificial limbs and hands after amputation.

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Figures

Fig. 1
Fig. 1
Infrared photograph of the monkey's right hand in the manipulandum.
Fig. 2
Fig. 2
Time course and states during the finger flexion behavioral task.
Fig. 3
Fig. 3
(Top) Radial view x-ray of the nine IMES implanted into the monkey's right arm. (Middle) dorsal view x-ray of implanted IMES. (Bottom) View of the monkey's right arm 20 days after implantation. Note there is only faint evidence of the incisions made for implantation (arrow).
Fig. 4
Fig. 4
EMG from 8 IMES and switch closure data being simultaneously recorded on the Cerebus as the monkey performs the finger flexion task. TFlex=thumb flexion switch, IFlex=index finger flexion switch, MFlex=middle finger flexion switch.
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References

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