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A Novel Biomimetic Stimulator System for Neural Implant.
Wang, Po-Min; Culaclii, Stanislav; Yang, William; Long, Yan; Massachi, Jonathan; Lo, Yi-Kai; Liu, Wentai.
Afiliação
  • Wang PM; Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.
  • Culaclii S; Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.
  • Yang W; Department of Computer Science, University of California, Los Angeles, CA, 90095, USA.
  • Long Y; College of Electrical Engineering, Zhijiang University, Hangzhou, 310027, China.
  • Massachi J; Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.
  • Lo YK; Niche Biomedical Inc., Los Angeles, CA 90095, USA.
  • Liu W; Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.
Int IEEE EMBS Conf Neural Eng ; 2019: 843-846, 2019 Mar.
Article em En | MEDLINE | ID: mdl-31178980
Electrical stimulation using non-periodic biomimetic stimulation pattern has been shown to be effective in various critical biomedical applications. However, the existing programmable stimulators that support this protocol are non-portable and have architectures that are not translatable to wearable or implantable applications. In this work, we present a 32-channel neural stimulator system based on an implantable System-On-Chip (SoC) that addresses these technological challenges. The system is designed to be portable, powered by a single battery, wirelessly controlled, and versatile to perform concurrent multi-channel stimulation with independent arbitrary waveforms. The experimental results demonstrate multi-channel stimulation mimicking electromyography (EMG) waveforms and randomly-spaced stimulation pulses mimicking neuronal firing patterns. This compact and highly flexible prototype can support various neuromodulation researches and animal studies and serves as a precursor for the development of the next generation implantable biomimetic stimulator.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Int IEEE EMBS Conf Neural Eng Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Int IEEE EMBS Conf Neural Eng Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos