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

Bio-Electronics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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	Proceedings of the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Place of Publication	Danvers
Publisher	IEEE
Pages	312-316
Number of pages	5
ISBN (Electronic)	978-1-6654-6917-3
ISBN (Print)	978-1-6654-6918-0
DOIs	https://doi.org/10.1109/BioCAS54905.2022.9948643
Publication status	Published - 2022
Event	2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) - Taipei, Taiwan Duration: 13 Oct 2022 → 15 Oct 2022

Conference

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

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

neuron modeling
electrical stimulation
neuro-modulation
energy transfer efficiency
frequency spectrum

UN SDGs

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

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10.1109/BioCAS54905.2022.9948643

Pre-Filtering_of_Stimuli_for_Improved_Energy_Efficiency_in_Electrical_Neural_Stimulation (1)Final published version, 2.38 MB

Cite this

@inproceedings{d014cccc666f4c639cbc6a489b8972bd,

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{\textquoteright}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.",

keywords = "neuron modeling, electrical stimulation, neuro-modulation, energy transfer efficiency, frequency spectrum",

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

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) ; Conference date: 13-10-2022 Through 15-10-2022",

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doi = "10.1109/BioCAS54905.2022.9948643",

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 Proceedings of the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, Danvers, pp. 312-316, 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 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.
Proceedings of the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS). Danvers: IEEE, 2022. p. 312-316.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › 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.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2022

Y1 - 2022

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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DO - 10.1109/BioCAS54905.2022.9948643

M3 - Conference contribution

SN - 978-1-6654-6918-0

SP - 312

EP - 316

BT - Proceedings of the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)

PB - IEEE

CY - Danvers

T2 - 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)

Y2 - 13 October 2022 through 15 October 2022

ER -

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

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

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