title: Computational modeling of peripheral nerve stimulation.
abstract: Nerve localization using peripheral nerve stimulation (PNS) is affected by tissue properties, the anatomy surrounding the nerve, and characteristics of the stimulus waveform. A better understanding of the factors influencing PNS should lead to improved nerve localization techniques for use in regional anesthesia. A finite element approach is described here that includes capacitive effects and accounts for frequency-dependent tissue properties in a computationally efficient manner. The modeling approach can be applied to other bioelectric problems where capacitive effects may be important.
authors: NeuroMetrix, Inc, Waltham, MA 02450, USA. btracey@neurometrix.com
authors: Brian H
authors: BH
authors: Tracey
authors: Plamen
authors: P
authors: Krastev
authors: Zhixiu
authors: Z
authors: Han
authors: Michael
authors: M
authors: Williams
mesh_terms: D003198:Computer Simulation; D004558:Electric Stimulation; D020342:Finite Element Analysis; D008959:Models, Neurological; D010525:Peripheral Nerves / Q000502:physiology*