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.
|Title of host publication||Proceedings of the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)|
|Place of Publication||Danvers|
|Number of pages||5|
|Publication status||Published - 2022|
|Event||2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) - Taipei, Taiwan|
Duration: 13 Oct 2022 → 15 Oct 2022
|Conference||2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)|
|Period||13/10/22 → 15/10/22|
Bibliographical noteGreen 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.
- neuron modeling
- electrical stimulation
- energy transfer efficiency
- frequency spectrum