Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation

Francesc Varkevisser; Amin Rashidi; Tiago L. Costa; Vasiliki Giagka; Wouter A. Serdijn

doi:10.1109/BioCAS54905.2022.9948643

Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation

Francesc Varkevisser^*, Amin Rashidi, Tiago L. Costa, Vasiliki Giagka^*, Wouter A. Serdijn

^*Corresponding author for this work

Neurosciences

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

2 Citations (Scopus)

Abstract

This work proposes a guideline for designing more energy-efficient electrical stimulators by analyzing the frequency spectrum of the stimuli. It is shown that the natural low-pass characteristic of the neuron's membrane limits the energy transfer efficiency from the stimulator to the cell. Thus, to improve the transfer efficiency, it is proposed to pre-filter the high-frequency components of the stimulus. The method is validated for a Hodgkin-Huxley (HH) axon cable model using NEURON v8.0 software. To this end, the required activation energy is simulated for rectangular pulses with durations between 10 μs and 5 ms, which are low-pass filtered with cut-off frequencies of 0.5-50 kHz. Simulations show a 51.5% reduction in the required activation energy for the shortest pulse width (i.e., 10 μs) after filtering at 5 kHz. It is also shown that the minimum required activation energy can be decreased by 11.04% when an appropriate pre-filter is applied. Finally, we draw a perspective for future use of this method to improve the selectivity of electrical stimulation.

Original language	English
Title of host publication	BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference
Subtitle of host publication	Intelligent Biomedical Systems for a Better Future, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	312-316
Number of pages	5
ISBN (Electronic)	9781665469173
DOIs	https://doi.org/10.1109/BioCAS54905.2022.9948643
Publication status	Published - 16 Nov 2022
Event	2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 - Taipei, Taiwan Duration: 13 Oct 2022 → 15 Oct 2022

Publication series

Series	BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings

Conference

Conference	2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022
Country/Territory	Taiwan
City	Taipei
Period	13/10/22 → 15/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/BioCAS54905.2022.9948643

Cite this

Varkevisser, F., Rashidi, A., Costa, T. L., Giagka, V., & Serdijn, W. A. (2022). Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation. In BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings (pp. 312-316). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS54905.2022.9948643

Varkevisser, Francesc ; Rashidi, Amin ; Costa, Tiago L. et al. / Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation. BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 312-316 (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings).

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title = "Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation",

abstract = "This work proposes a guideline for designing more energy-efficient electrical stimulators by analyzing the frequency spectrum of the stimuli. It is shown that the natural low-pass characteristic of the neuron's membrane limits the energy transfer efficiency from the stimulator to the cell. Thus, to improve the transfer efficiency, it is proposed to pre-filter the high-frequency components of the stimulus. The method is validated for a Hodgkin-Huxley (HH) axon cable model using NEURON v8.0 software. To this end, the required activation energy is simulated for rectangular pulses with durations between 10 μs and 5 ms, which are low-pass filtered with cut-off frequencies of 0.5-50 kHz. Simulations show a 51.5\% reduction in the required activation energy for the shortest pulse width (i.e., 10 μs) after filtering at 5 kHz. It is also shown that the minimum required activation energy can be decreased by 11.04\% when an appropriate pre-filter is applied. Finally, we draw a perspective for future use of this method to improve the selectivity of electrical stimulation.",

author = "Francesc Varkevisser and Amin Rashidi and Costa, \{Tiago L.\} and Vasiliki Giagka and Serdijn, \{Wouter A.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 ; Conference date: 13-10-2022 Through 15-10-2022",

year = "2022",

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language = "English",

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Varkevisser, F, Rashidi, A, Costa, TL, Giagka, V & Serdijn, WA 2022, Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation. in BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc., BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings, pp. 312-316, 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, Taipei, Taiwan, 13/10/22. https://doi.org/10.1109/BioCAS54905.2022.9948643

Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation. / Varkevisser, Francesc; Rashidi, Amin; Costa, Tiago L. et al.
BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 312-316 (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

TY - GEN

T1 - Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation

AU - Varkevisser, Francesc

AU - Rashidi, Amin

AU - Costa, Tiago L.

AU - Giagka, Vasiliki

AU - Serdijn, Wouter A.

PY - 2022/11/16

Y1 - 2022/11/16

N2 - This work proposes a guideline for designing more energy-efficient electrical stimulators by analyzing the frequency spectrum of the stimuli. It is shown that the natural low-pass characteristic of the neuron's membrane limits the energy transfer efficiency from the stimulator to the cell. Thus, to improve the transfer efficiency, it is proposed to pre-filter the high-frequency components of the stimulus. The method is validated for a Hodgkin-Huxley (HH) axon cable model using NEURON v8.0 software. To this end, the required activation energy is simulated for rectangular pulses with durations between 10 μs and 5 ms, which are low-pass filtered with cut-off frequencies of 0.5-50 kHz. Simulations show a 51.5% reduction in the required activation energy for the shortest pulse width (i.e., 10 μs) after filtering at 5 kHz. It is also shown that the minimum required activation energy can be decreased by 11.04% when an appropriate pre-filter is applied. Finally, we draw a perspective for future use of this method to improve the selectivity of electrical stimulation.

AB - This work proposes a guideline for designing more energy-efficient electrical stimulators by analyzing the frequency spectrum of the stimuli. It is shown that the natural low-pass characteristic of the neuron's membrane limits the energy transfer efficiency from the stimulator to the cell. Thus, to improve the transfer efficiency, it is proposed to pre-filter the high-frequency components of the stimulus. The method is validated for a Hodgkin-Huxley (HH) axon cable model using NEURON v8.0 software. To this end, the required activation energy is simulated for rectangular pulses with durations between 10 μs and 5 ms, which are low-pass filtered with cut-off frequencies of 0.5-50 kHz. Simulations show a 51.5% reduction in the required activation energy for the shortest pulse width (i.e., 10 μs) after filtering at 5 kHz. It is also shown that the minimum required activation energy can be decreased by 11.04% when an appropriate pre-filter is applied. Finally, we draw a perspective for future use of this method to improve the selectivity of electrical stimulation.

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T3 - BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 13 October 2022 through 15 October 2022

ER -

Varkevisser F, Rashidi A, Costa TL, Giagka V, Serdijn WA. Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation. In BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 312-316. (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings). doi: 10.1109/BioCAS54905.2022.9948643

Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation

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