Sergio Massaioli;Marco F. Carlino;Georges G. E. Gielen
{"title":"A Fully-Integrated Many-Electrodes Pulsed-Voltage Control Architecture for Arbitrary-Waveform Neural Stimulation With High Energy Efficiency","authors":"Sergio Massaioli;Marco F. Carlino;Georges G. E. Gielen","doi":"10.1109/TCSI.2025.3555895","DOIUrl":null,"url":null,"abstract":"Deeply implantable neural stimulation calls for architectural solutions that are small, efficient and flexible, and that can stimulate many electrodes. To this end, this paper proposes the use of a pulsed (chopped) voltage stimulator, implemented using a low-complexity switch network with fully adaptive real-time control. The fully-integrated control architecture guarantees current waveform reconstruction and charge balancing by continuously monitoring the charge delivered to the electrode, thus offering robustness towards power-supply voltage and electrode impedance variations. The architecture has a high energy efficiency across the entire output operating range. The output waveform is generated in charge samples (slices) of controlled amount; by controlling these slices properly, the desired arbitrary stimulation waveform is constructed. A voltage monitoring circuit is used to apply active charge balancing; the duration of the balancing phase is adjusted by varying the number of charge samples. The feasibility of the architecture is demonstrated with a chip prototype manufactured in a 180 nm, 1.8 V/5 V CMOS process, and has an area of only 0.027 mm2 per non-multiplexed stimulator channel. Across the entire output operating range, the experimental validation of the prototype demonstrates a source energy efficiency that is up to <inline-formula> <tex-math>$35\\,\\%$ </tex-math></inline-formula> better than previously published implementations. The results show that this architecture is a viable solution for next-generation systems for neuromodulation and closed-loop neural monitoring.","PeriodicalId":13039,"journal":{"name":"IEEE Transactions on Circuits and Systems I: Regular Papers","volume":"72 10","pages":"5447-5456"},"PeriodicalIF":5.2000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Circuits and Systems I: Regular Papers","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10955694/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Deeply implantable neural stimulation calls for architectural solutions that are small, efficient and flexible, and that can stimulate many electrodes. To this end, this paper proposes the use of a pulsed (chopped) voltage stimulator, implemented using a low-complexity switch network with fully adaptive real-time control. The fully-integrated control architecture guarantees current waveform reconstruction and charge balancing by continuously monitoring the charge delivered to the electrode, thus offering robustness towards power-supply voltage and electrode impedance variations. The architecture has a high energy efficiency across the entire output operating range. The output waveform is generated in charge samples (slices) of controlled amount; by controlling these slices properly, the desired arbitrary stimulation waveform is constructed. A voltage monitoring circuit is used to apply active charge balancing; the duration of the balancing phase is adjusted by varying the number of charge samples. The feasibility of the architecture is demonstrated with a chip prototype manufactured in a 180 nm, 1.8 V/5 V CMOS process, and has an area of only 0.027 mm2 per non-multiplexed stimulator channel. Across the entire output operating range, the experimental validation of the prototype demonstrates a source energy efficiency that is up to $35\,\%$ better than previously published implementations. The results show that this architecture is a viable solution for next-generation systems for neuromodulation and closed-loop neural monitoring.
期刊介绍:
TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.