Charge and energy minimization in electrical/magnetic stimulation of nervous tissue

In this work we address the problem of stimulating nervous tissue with the minimal necessary energy at reduced/minimal charge. Charge minimization is related to a valid safety concern (avoidance and reduction of stimulation-induced tissue and electrode damage). Energy minimization plays a role in battery-driven electrical or magnetic stimulation systems (increased lifetime, repetition rates, reduction of power requirements, thermal management). Extensive new theoretical results are derived by employing an optimal control theory framework. These results include derivation of the optimal electrical stimulation waveform for a mixed energy/charge minimization problem, derivation of the charge-balanced energy-minimal electrical stimulation waveform, solutions of a pure charge minimization problem with and without a constraint on the stimulation amplitude, and derivation of the energy-minimal magnetic stimulation waveform. Depending on the set stimulus pulse duration, energy and charge reductions of up to 80% are deemed possible. Results are verified in simulations with an active, mammalian-like nerve fiber model.

[1]  Sarah H. Lisanby,et al.  A Transcranial Magnetic Stimulator Inducing Near-Rectangular Pulses With Controllable Pulse Width (cTMS) , 2008, IEEE Transactions on Biomedical Engineering.

[2]  M. Sahin,et al.  Non-rectangular waveforms for neural stimulation with practical electrodes , 2007, Journal of neural engineering.

[3]  Joseph F Rizzo,et al.  Thresholds for activation of rabbit retinal ganglion cells with a subretinal electrode. , 2006, Experimental eye research.

[4]  Niloy Bhadra,et al.  High frequency electrical conduction block of the pudendal nerve , 2006, Journal of neural engineering.

[5]  W. Paulus,et al.  Half sine, monophasic and biphasic transcranial magnetic stimulation of the human motor cortex , 2006, Clinical Neurophysiology.

[6]  F. Werblin,et al.  A method for generating precise temporal patterns of retinal spiking using prosthetic stimulation. , 2006, Journal of neurophysiology.

[7]  A. Vučković,et al.  Different pulse shapes for selective large fibre block in sacral nerve roots using a technique of anodal block: An experimental study , 2004, Medical and Biological Engineering and Computing.

[8]  R. Sarpeshkar,et al.  An analog bionic ear processor with zero-crossing detection , 2005, ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005..

[9]  R. Jensen,et al.  Thresholds for activation of rabbit retinal ganglion cells with relatively large, extracellular microelectrodes. , 2005, Investigative ophthalmology & visual science.

[10]  Manfred Morari,et al.  Energy-optimal electrical excitation of nerve fibers , 2005, IEEE Transactions on Biomedical Engineering.

[11]  Rahul Sarpeshkar,et al.  An ultra-low-power programmable analog bionic ear processor , 2005, IEEE Transactions on Biomedical Engineering.

[12]  Nicolas P Cottaris,et al.  How the retinal network reacts to epiretinal stimulation to form the prosthetic visual input to the cortex , 2005, Journal of neural engineering.

[13]  Daniel R. Merrill,et al.  Electrical stimulation of excitable tissue: design of efficacious and safe protocols , 2005, Journal of Neuroscience Methods.

[14]  Thomas Sinkjær,et al.  Finite element modeling validation of energy-optimal electrical stimulation waveform , 2005 .

[15]  Frank Rattay,et al.  Effective electrode configuration for selective stimulation with inner eye prostheses , 2004, IEEE Transactions on Biomedical Engineering.

[16]  Aleksandra Vuckovic,et al.  Different pulse shapes to obtain small fiber selective activation by anodal blocking-a simulation study , 2004, IEEE Transactions on Biomedical Engineering.

[17]  A. Vučković Selective nerve fiber activation by anodal block: experimental and simulation studies on charge reduction and chronic stability , 2004 .

[18]  Jerrold S. Petrofsky,et al.  Toward the optimal waveform for electrical stimulation of human muscle , 2002, European Journal of Applied Physiology.

[19]  Dominique M. Durand,et al.  Toroidal coil models for transcutaneous magnetic simulation of nerves , 2001, IEEE Transactions on Biomedical Engineering.

[20]  Kent Davey,et al.  Magnetic stimulation coil and circuit design , 2000, IEEE Transactions on Biomedical Engineering.

[21]  Matthew G. Fishler,et al.  Theoretical predictions of the optimal monophasic and biphasic defibrillation waveshapes , 2000, IEEE Transactions on Biomedical Engineering.

[22]  D B McCreery,et al.  Evolution and resolution of stimulation‐induced axonal injury in peripheral nerve , 1999, Muscle & nerve.

[23]  T. Velte,et al.  A computational model of electrical stimulation of the retinal ganglion cell , 1999, IEEE Transactions on Biomedical Engineering.

[24]  D M Durand,et al.  Influence of pulse sequence, polarity and amplitude on magnetic stimulation of human and porcine peripheral nerve , 1998, The Journal of physiology.

[25]  J. Struijk,et al.  The extracellular potential of a myelinated nerve fiber in an unbounded medium and in nerve cuff models. , 1997, Biophysical journal.

[26]  D. Durand,et al.  Modeling the effects of electric fields on nerve fibers: Determination of excitation thresholds , 1992, IEEE Transactions on Biomedical Engineering.

[27]  Effect Of Pulsewidth And Delay On Stimulating Electrode Charge Injection In-vitro , 1990, [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[28]  A. Scheiner,et al.  Imbalanced biphasic electrical stimulation: Muscle tissue damage , 1990, [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[29]  D.B. McCreery,et al.  Charge density and charge per phase as cofactors in neural injury induced by electrical stimulation , 1990, IEEE Transactions on Biomedical Engineering.

[30]  P. Basser,et al.  A model of the stimulation of a nerve fiber by electromagnetic induction , 1990, IEEE Transactions on Biomedical Engineering.

[31]  G. Hoffmann De Visme,et al.  Minimum Energy Pulsing by Cardiac Pacemakers , 1982, IEEE Transactions on Biomedical Engineering.

[32]  Richard D. Klafter,et al.  An In Vivo Study of Cardiac Pacemaker Optimization by Pulse Shape Modification , 1976, IEEE Transactions on Biomedical Engineering.

[33]  R. Klafter,et al.  An optimally energized cardiac pacemaker. , 1973, IEEE transactions on bio-medical engineering.

[34]  H. Robbins A generalized legendre-clebsch condition for the singular cases of optimal control , 1967 .

[35]  L. VODOVNIK Mathematische Behandlung der normalen und pathologischen Reizstärke-Reizzeit-Kurven , 1959 .