A fully integrated energy-aware baseband circuitry for next-generation retinal implants

Cihun Siyong Alex Gong*, Kai Wen Yao, Chun Hsien Su, Sheng Yang Ho, Chi Tong Hong, Tong Yi Chen, Jyun Wei Lu, Yin Chang, Muh Tian Shiue

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The state-of-the-art prosthetic devices have been successfully approved as critical approach to provide at least partial reconstruction for physiological diseases by replacing a damaged tissue or organ. Invariably, they are always aspired to have lower power consumption despite the battery or the battery-less implementation. This paper presents an energy-aware baseband circuitry concerned about the next-generation multi-channel prostheses especially for the retinal implant in which an inductive-coil link is preferred to fulfill the need of power delivery for providing safer tissue-machine interfaces in the intraocular environment. The extended lifetime for those of the battery-dependent implants can be also achieved by adopting such a power-efficient scheme. The proposed system is a 16-channel-based on-electrode multiplexing design, which can deal with up to 40 frame/sec with 240 stimulus channels in mode I and 3 times the resolution at the same frame rate in mode II under a carrier frequency of 2 MHz. A prototypical chip was implemented in a 0.18-μm CMOS process and the experiment has also been carried out as proof of concept.

Original languageEnglish
Title of host publicationProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Pages110-113
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States
Duration: 02 05 200705 05 2007

Publication series

NameProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

Conference

Conference3rd International IEEE EMBS Conference on Neural Engineering
Country/TerritoryUnited States
CityKohala Coast, HI
Period02/05/0705/05/07

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