Literature DB >> 19005714

A model for transcutaneous current stimulation: simulations and experiments.

Andreas Kuhn1, Thierry Keller, Marc Lawrence, Manfred Morari.   

Abstract

Complex nerve models have been developed for describing the generation of action potentials in humans. Such nerve models have primarily been used to model implantable electrical stimulation systems, where the stimulation electrodes are close to the nerve (near-field). To address if these nerve models can also be used to model transcutaneous electrical stimulation (TES) (far-field), we have developed a TES model that comprises a volume conductor and different previously published non-linear nerve models. The volume conductor models the resistive and capacitive properties of electrodes, electrode-skin interface, skin, fat, muscle, and bone. The non-linear nerve models were used to conclude from the potential field within the volume conductor on nerve activation. A comparison of simulated and experimentally measured chronaxie values (a measure for the excitability of nerves) and muscle twitch forces on human volunteers allowed us to conclude that some of the published nerve models can be used in TES models. The presented TES model provides a first step to more extensive model implementations for TES in which e.g., multi-array electrode configurations can be tested.

Entities:  

Mesh:

Year:  2008        PMID: 19005714     DOI: 10.1007/s11517-008-0422-z

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  33 in total

Review 1.  Accuracy limitations of chronaxie values.

Authors:  Leslie A Geddes
Journal:  IEEE Trans Biomed Eng       Date:  2004-01       Impact factor: 4.538

2.  Effect of frequency and pulse duration on human muscle fatigue during repetitive electrical stimulation.

Authors:  Trisha Kesar; Stuart Binder-Macleod
Journal:  Exp Physiol       Date:  2006-07-27       Impact factor: 2.969

3.  Morphometric analysis of the fiber populations of the rat sciatic nerve, its spinal roots, and its major branches.

Authors:  Dimiter Prodanov; Hans K P Feirabend
Journal:  J Comp Neurol       Date:  2007-07-01       Impact factor: 3.215

4.  Modeling the excitability of mammalian nerve fibers: influence of afterpotentials on the recovery cycle.

Authors:  Cameron C McIntyre; Andrew G Richardson; Warren M Grill
Journal:  J Neurophysiol       Date:  2002-02       Impact factor: 2.714

5.  Application of a neuroelectric model to electrocutaneous sensory sensitivity: parameter variation study.

Authors:  J P Reilly; R H Bauer
Journal:  IEEE Trans Biomed Eng       Date:  1987-09       Impact factor: 4.538

6.  A quantitative description of membrane currents in rabbit myelinated nerve.

Authors:  S Y Chiu; J M Ritchie; R B Rogart; D Stagg
Journal:  J Physiol       Date:  1979-07       Impact factor: 5.182

7.  The strength-duration relationship for excitation of myelinated nerve: computed dependence on membrane parameters.

Authors:  H Bostock
Journal:  J Physiol       Date:  1983-08       Impact factor: 5.182

8.  Control of a skeletal joint by electrical stimulation of antagonists.

Authors:  L Vodovnik; W J Crochetiere; J B Reswick
Journal:  Med Biol Eng       Date:  1967-03

9.  Impact of varying pulse frequency and duration on muscle torque production and fatigue.

Authors:  Chris M Gregory; Warren Dixon; C Scott Bickel
Journal:  Muscle Nerve       Date:  2007-04       Impact factor: 3.217

10.  The effects of stimulation frequency and fatigue on the force-intensity relationship for human skeletal muscle.

Authors:  Li-Wei Chou; Stuart A Binder-Macleod
Journal:  Clin Neurophysiol       Date:  2007-04-26       Impact factor: 3.708

View more
  22 in total

1.  Properties of low-threshold motor axons in the human median nerve.

Authors:  Louise Trevillion; James Howells; Hugh Bostock; David Burke
Journal:  J Physiol       Date:  2010-05-17       Impact factor: 5.182

2.  Estimating nerve excitation thresholds to cutaneous electrical stimulation by finite element modeling combined with a stochastic branching nerve fiber model.

Authors:  Carsten Dahl Mørch; Kristian Hennings; Ole Kæseler Andersen
Journal:  Med Biol Eng Comput       Date:  2011-01-05       Impact factor: 2.602

3.  Predicting myelinated axon activation using spatial characteristics of the extracellular field.

Authors:  E J Peterson; O Izad; D J Tyler
Journal:  J Neural Eng       Date:  2011-07-13       Impact factor: 5.379

4.  A computational study to evaluate the activation pattern of nerve fibers in response to interferential currents stimulation.

Authors:  Mahsa Agharezaee; Amin Mahnam
Journal:  Med Biol Eng Comput       Date:  2015-04-03       Impact factor: 2.602

5.  A model of motor and sensory axon activation in the median nerve using surface electrical stimulation.

Authors:  Jessica L Gaines; Kathleen E Finn; Julia P Slopsema; Lane A Heyboer; Katharine H Polasek
Journal:  J Comput Neurosci       Date:  2018-06-26       Impact factor: 1.621

6.  Experimental and model-based analysis of differences in perception of cutaneous electrical stimulation across the sole of the foot.

Authors:  Ken Steffen Frahm; Carsten Dahl Mørch; Warren M Grill; Ole Kæseler Andersen
Journal:  Med Biol Eng Comput       Date:  2013-04-27       Impact factor: 2.602

7.  Influences of interpolation error, electrode geometry, and the electrode-tissue interface on models of electric fields produced by deep brain stimulation.

Authors:  Bryan Howell; Sagar Naik; Warren M Grill
Journal:  IEEE Trans Biomed Eng       Date:  2014-02       Impact factor: 4.538

8.  Volume conductor model of transcutaneous electrical stimulation with kilohertz signals.

Authors:  Leonel E Medina; Warren M Grill
Journal:  J Neural Eng       Date:  2014-11-07       Impact factor: 5.379

9.  High-resolution computational modeling of the current flow in the outer ear during transcutaneous auricular Vagus Nerve Stimulation (taVNS).

Authors:  Erica Kreisberg; Zeinab Esmaeilpour; Devin Adair; Niranjan Khadka; Abhishek Datta; Bashar W Badran; J Douglas Bremner; Marom Bikson
Journal:  Brain Stimul       Date:  2021-09-10       Impact factor: 8.955

10.  Can the human lumbar posterior columns be stimulated by transcutaneous spinal cord stimulation? A modeling study.

Authors:  Simon M Danner; Ursula S Hofstoetter; Josef Ladenbauer; Frank Rattay; Karen Minassian
Journal:  Artif Organs       Date:  2011-03       Impact factor: 3.094

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.