Investigation on energy optimization of neural electrical stimulation based on circuit probability theory

Yapeng Zhang; Yonghong Liu; Ran Zhu; Tianzhun Wu; Wenji Yue; Dongshu Wang; Hao Wang

doi:10.1117/12.2627239

14 February 2022 Investigation on energy optimization of neural electrical stimulation based on circuit probability theory

Yapeng Zhang, Yonghong Liu, Ran Zhu, Tianzhun Wu, Wenji Yue, Dongshu Wang, Hao Wang

Author Affiliations +

Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 121611D (2022) https://doi.org/10.1117/12.2627239
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China

Abstract

For the battery-powered implantable stimulators, the energy optimization of neural stimulation is critical for extending its lifetime. However, due to the nonlinearity and complexity of the relationship between the neural electrical stimulation and the neural response, optimizing the stimulation parameters to achieve desired neural response with minimal energy consumption is a challenge. The circuit-probability theory is a novel method to investigate the quantitative relationship between electrical stimulations and neural responses. Based on the circuit-probability theory, this paper proposed a method to investigate the energy optimization problem at different neural response strength. The results show that the pulse width of the optimal current waveform with minimal energy consumption is not a constant, but a value that increases with the neural stimulation strength. In the future, our study can be applied for the optimization of current pulses of implantable neural stimulators to prolong the lifetime and reduce the recharge intervals of batteries, thereby reducing the volume of implanted pulse generators and the costs and risks of battery-replacement surgeries.

Citation Download Citation

Yapeng Zhang, Yonghong Liu, Ran Zhu, Tianzhun Wu, Wenji Yue, Dongshu Wang, and Hao Wang "Investigation on energy optimization of neural electrical stimulation based on circuit probability theory", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 121611D (14 February 2022); https://doi.org/10.1117/12.2627239

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