Title :
Suppression of anodal break excitation by electrical stimulation with down-staircase waveform for distance-selective nerve recruitment
Author :
Ueno, Atsushi ; Karashima, Akihiro ; Nakao, Masahiro ; Katayama, Norihiro
Author_Institution :
Dept. of Appl. Inf. Sci., Tohoku Univ., Sendai, Japan
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
Electrical nerve stimulation using extracellular electrodes is widely performed in clinical medicine as well as basic medical science. It has been reported that selective recruitment of nerve fibers on the basis of the distance between the electrode and the axon is possible without moving the electrode and only by modifying the waveform of electrical stimulation. However, computer simulations have not reproduced the complete nature of the distance-selectivity of the stimulus owing to the difficulty in numerical analysis. In this paper, we propose a minor modification to the myelinated axon model to overcome this difficulty. We confirm that this modification improves the numerical stability of the simulation and enables us to obtain the spatio-temporal dynamics of axons, including the electrode-to-axon distance-dependency. In addition, we propose a novel stimulation method using a down-staircase waveform for distance-selective nerve recruitment. Simulations confirm that the method works well. We show the spatial distribution of axons activated by the down-staircase stimulation, which would be helpful to determine the stimulation parameters for distance-selective nerve recruitment.
Keywords :
bioelectric phenomena; biomedical electrodes; cellular biophysics; neurophysiology; numerical stability; spatiotemporal phenomena; anodal break excitation; computer simulation; distance-selective nerve recruitment; down-staircase stimulation; down-staircase waveform; electrical nerve stimulation; electrode-axon distance-dependency; extracellular electrodes; myelinated axon model; nerve fibers; numerical analysis; numerical stability; spatiotemporal dynamics; stimulation parameters; Electric potential; Electrodes; Extracellular; Graphical models; Nerve fibers; Numerical models; Recruitment; Animals; Axons; Computer Simulation; Humans; Models, Neurological; Transcutaneous Electric Nerve Stimulation;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6345907