title: Peripheral nerve signal recording and processing for artificial limb control.
abstract: In order to take full advantage of modern multiple-degree of freedom prosthetic limbs, robust and natural control signals are needed. Previous work has shown that beamforming provides a method to extract such signals from peripheral nerve activity [1]. This paper describes in vivo experiments done to validate that method in a more realistic case. A 16-channel Flat Interface Nerve Electrode was used to record from the Sciatic nerve in Rabbit, while the distal Tibial and Peroneal branches were stimulated. Beamforming provided R(2)=0.7 ± 0.2, an improvement of 0.12 ± 0.06 over the a posteriori chosen best channels. When more realistic signals were generated using kHz-level stimulation, the beamforming filters were able to distinguish which branch was being stimulated, and in many cases how strongly, over a large range of stimulation intensities.
authors.affiliation: Case Western Reserve University, Neural Engineering Center, Cleveland, OH 44118, USA. bcw12@case.edu
authors.forename: B
authors.initials: B
authors.lastname: Wodlinger
authors.forename: D M
authors.initials: DM
authors.lastname: Durand
mesh_terms: D000465:Algorithms; D000818:Animals; D001186:Artificial Limbs; D004558:Electric Stimulation; D055724:Electrophysiological Phenomena; D010525:Peripheral Nerves / Q000502:physiology*; D010543:Peroneal Nerve / Q000502:physiology; D011817:Rabbits; D012815:Signal Processing, Computer-Assisted; D013977:Tibia / Q000294:innervation