Pre-Filtering of Stimuli for Improved Energy Efficiency in Electrical Neural Stimulation
Varkevisser, F. (TU Delft Bio-Electronics)
Rashidi, A. (TU Delft Bio-Electronics)
Lopes Marta da Costa, T.M. (TU Delft Bio-Electronics)
Giagka, Vasiliki (TU Delft Bio-Electronics; Fraunhofer Institute for Reliability and Microintegration IZM)
Serdijn, W.A. (TU Delft Bio-Electronics; Erasmus MC)
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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energy transfer efficiency
Proceedings of the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2022-10-13 → 2022-10-15, Taipei, Taiwan
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.
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© 2022 F. Varkevisser, A. Rashidi, T.M. Lopes Marta da Costa, Vasiliki Giagka, W.A. Serdijn