A 10-V-Tolerant Dual-Mode Neural Stimulation System With Self-Sustaining Dynamic Supply and Error-Resilient Digital Stimulus Odometer
This article proposes the eight-channel 10-V-tolerant energy-optimizing dual-mode dynamic supplied stimulation (D2S<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$^{2})$ </tex-math></inline-formula> system for deep brain stimulation (DBS). The proposed D2S2 system can efficiently provide both current-controlled stimulation (CCS) and voltage-controlled stimulation (VCS) with 7-bit resolution, providing flexibility in stimulation modes. The system adopts the self-sustaining dynamic supply (SSDS) technique, which can be applied to multi-channel simultaneous stimulation, achieving stimulation efficiency of up to 74.8%. The proposed digital error-resilient stimulus odometer (ERSO) with the deglitching capacitor precisely balances the biphasic charge transfer while achieving energy savings of up to 83.6% in VCS. The stimulation channels of the proposed D2S2 system can simultaneously deliver stimuli with dynamic supplies while ensuring 10-V stimulation compliance only with 5-V transistors. In vivo animal experiments on a rat with the D2S2 system fabricated in 0.25-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>m CMOS process verified the effectiveness of the D2S2 system in halting epileptic seizures.
Authors
- Han-Sol Lee (ORCID: https://orcid.org/0000-0002-7590-7382)
- Young‐Min Shon (ORCID: https://orcid.org/0000-0001-5171-1695)
- Hyung‐Min Lee (ORCID: https://orcid.org/0000-0003-1191-3553)
- Taewoo Kim (ORCID: https://orcid.org/0000-0002-1474-8808)
- Seung-Beom Ku (ORCID: https://orcid.org/0009-0008-2192-6431)
- Kyeongho Eom (ORCID: https://orcid.org/0000-0002-1572-2095)
- Tae-Kyung Kim (ORCID: https://orcid.org/0000-0002-4233-8574)
- Jaesoon Joo
- Joonghoon Kang
- Hyungjin Jung (ORCID: https://orcid.org/0009-0003-8220-3871)
Institutions
- Korea University (KR)
- Samsung Medical Center (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- IEEE Journal of Solid-State Circuits
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1109/jssc.2025.3542022
- Citations
- 5
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 4.55