Literature DB >> 23852740

An energy-efficient, adiabatic electrode stimulator with inductive energy recycling and feedback current regulation.

Scott K Arfin1, Rahul Sarpeshkar.   

Abstract

In this paper, we present a novel energy-efficient electrode stimulator. Our stimulator uses inductive storage and recycling of energy in a dynamic power supply. This supply drives an electrode in an adiabatic fashion such that energy consumption is minimized. It also utilizes a shunt current-sensor to monitor and regulate the current through the electrode via feedback, thus enabling flexible and safe stimulation. Since there are no explicit current sources or current limiters, wasteful energy dissipation across such elements is naturally avoided. The dynamic power supply allows efficient transfer of energy both to and from the electrode and is based on a DC-DC converter topology that we use in a bidirectional fashion in forward-buck or reverse-boost modes. In an exemplary electrode implementation intended for neural stimulation, we show how the stimulator combines the efficiency of voltage control and the safety and accuracy of current control in a single low-power integrated-circuit built in a standard .35 μm CMOS process. This stimulator achieves a 2x-3x reduction in energy consumption as compared to a conventional current-source-based stimulator operating from a fixed power supply. We perform a theoretical analysis of the energy efficiency that is in accord with experimental measurements. This theoretical analysis reveals that further improvements in energy efficiency may be achievable with better implementations in the future. Our electrode stimulator could be widely useful for neural, cardiac, retinal, cochlear, muscular and other biomedical implants where low power operation is important.

Mesh:

Year:  2012        PMID: 23852740     DOI: 10.1109/TBCAS.2011.2166072

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  7 in total

1.  Stimulation Efficiency With Decaying Exponential Waveforms in a Wirelessly Powered Switched-Capacitor Discharge Stimulation System.

Authors:  Hyung-Min Lee; Bryan Howell; Warren M Grill; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2017-08-17       Impact factor: 4.538

2.  A Power-Efficient Wireless System With Adaptive Supply Control for Deep Brain Stimulation.

Authors:  Hyung-Min Lee; Hangue Park; Maysam Ghovanloo
Journal:  IEEE J Solid-State Circuits       Date:  2013-09       Impact factor: 5.013

Review 3.  Directions of Deep Brain Stimulation for Epilepsy and Parkinson's Disease.

Authors:  Ying-Chang Wu; Ying-Siou Liao; Wen-Hsiu Yeh; Sheng-Fu Liang; Fu-Zen Shaw
Journal:  Front Neurosci       Date:  2021-06-14       Impact factor: 4.677

4.  High frequency switched-mode stimulation can evoke post synaptic responses in cerebellar principal neurons.

Authors:  Marijn N van Dongen; Freek E Hoebeek; S K E Koekkoek; Chris I De Zeeuw; Wouter A Serdijn
Journal:  Front Neuroeng       Date:  2015-03-06

5.  16-Channel biphasic current-mode programmable charge balanced neural stimulation.

Authors:  Xiaoran Li; Shunan Zhong; James Morizio
Journal:  Biomed Eng Online       Date:  2017-08-14       Impact factor: 2.819

6.  Highly Configurable 100 Channel Recording and Stimulating Integrated Circuit for Biomedical Experiments.

Authors:  Piotr Kmon
Journal:  Sensors (Basel)       Date:  2021-12-20       Impact factor: 3.576

7.  Efficient universal computing architectures for decoding neural activity.

Authors:  Benjamin I Rapoport; Lorenzo Turicchia; Woradorn Wattanapanitch; Thomas J Davidson; Rahul Sarpeshkar
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

  7 in total

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