A Neurostimulator with Differential Charge Packet Injection Charge Balancing

A neurostimulator system is presented in this paper to provide a configurable current stimulus patterns for Deep Brain Stimulation (DBS). The stimulation system utilizes eight standard H-bridge current stimulators, each capable of generating a stimulation current of up to ±2.55mA. A novel charge recovery circuit of differential charge packet injection (DCPI) is proposed to achieve high-precision charge recovery. The neurostimulator is implemented in a 0.18μm BCD process. DCPI technique is used to reduce the residual voltage on the electrode-electrolyte interface during the inter-pulse time interval, which achieve 3 mV charge balancing precision with less sequential logic.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/iccs62517.2024.10845991
Citations
1
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.27

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article

A Neurostimulator with Differential Charge Packet Injection Charge Balancing

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Neuroscience and Neural Engineering
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article

A Neurostimulator with Differential Charge Packet Injection Charge Balancing

Yanlin Zou, Hualian Tang, Haofeng Wang, Gang Jin, J. H. Han
article en
1 citations

Abstract

A neurostimulator system is presented in this paper to provide a configurable current stimulus patterns for Deep Brain Stimulation (DBS). The stimulation system utilizes eight standard H-bridge current stimulators, each capable of generating a stimulation current of up to ±2.55mA. A novel charge recovery circuit of differential charge packet injection (DCPI) is proposed to achieve high-precision charge recovery. The neurostimulator is implemented in a 0.18μm BCD process. DCPI technique is used to reduce the residual voltage on the electrode-electrolyte interface during the inter-pulse time interval, which achieve 3 mV charge balancing precision with less sequential logic.

Xidian University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 41%
Neuroscience and Neural Engineering
0.27
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