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 |
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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 | |
Publication status | Published - 16 Nov 2022 |
Event | 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 - Taipei, Taiwan, Province of China 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 |
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Conference
Conference | 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 13/10/22 → 15/10/22 |
Bibliographical note
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