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Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems

This paper presents a minimally-invasive neural interface for distributed wireless electrocorticogram (ECoG) recording systems. The proposed interface equips all necessary components for ECoG recording, such as the high performance front-end integrated circuits, a fabricated flexible microelectrode...

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Detalles Bibliográficos
Autores principales: Chang, Sun-Il, Park, Sung-Yun, Yoon, Euisik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796353/
https://www.ncbi.nlm.nih.gov/pubmed/29342103
http://dx.doi.org/10.3390/s18010263
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author Chang, Sun-Il
Park, Sung-Yun
Yoon, Euisik
author_facet Chang, Sun-Il
Park, Sung-Yun
Yoon, Euisik
author_sort Chang, Sun-Il
collection PubMed
description This paper presents a minimally-invasive neural interface for distributed wireless electrocorticogram (ECoG) recording systems. The proposed interface equips all necessary components for ECoG recording, such as the high performance front-end integrated circuits, a fabricated flexible microelectrode array, and wireless communication inside a miniaturized custom-made platform. The multiple units of the interface systems can be deployed to cover a broad range of the target brain region and transmit signals via a built-in intra-skin communication (ISCOM) module. The core integrated circuit (IC) consists of 16-channel, low-power push-pull double-gated preamplifiers, in-channel successive approximation register analog-to-digital converters (SAR ADC) with a single-clocked bootstrapping switch and a time-delayed control unit, an ISCOM module for wireless data transfer through the skin instead of a power-hungry RF wireless transmitter, and a monolithic voltage/current reference generator to support the aforementioned analog and mixed-signal circuit blocks. The IC was fabricated using 250 nm CMOS processes in an area of 3.2 × 0.9 mm(2) and achieved the low-power operation of 2.5 µW per channel. Input-referred noise was measured as 5.62 µV(rms) for 10 Hz to 10 kHz and ENOB of 7.21 at 31.25 kS/s. The implemented system successfully recorded multi-channel neural activities in vivo from a primate and demonstrated modular expandability using the ISCOM with power consumption of 160 µW.
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spelling pubmed-57963532018-02-13 Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems Chang, Sun-Il Park, Sung-Yun Yoon, Euisik Sensors (Basel) Article This paper presents a minimally-invasive neural interface for distributed wireless electrocorticogram (ECoG) recording systems. The proposed interface equips all necessary components for ECoG recording, such as the high performance front-end integrated circuits, a fabricated flexible microelectrode array, and wireless communication inside a miniaturized custom-made platform. The multiple units of the interface systems can be deployed to cover a broad range of the target brain region and transmit signals via a built-in intra-skin communication (ISCOM) module. The core integrated circuit (IC) consists of 16-channel, low-power push-pull double-gated preamplifiers, in-channel successive approximation register analog-to-digital converters (SAR ADC) with a single-clocked bootstrapping switch and a time-delayed control unit, an ISCOM module for wireless data transfer through the skin instead of a power-hungry RF wireless transmitter, and a monolithic voltage/current reference generator to support the aforementioned analog and mixed-signal circuit blocks. The IC was fabricated using 250 nm CMOS processes in an area of 3.2 × 0.9 mm(2) and achieved the low-power operation of 2.5 µW per channel. Input-referred noise was measured as 5.62 µV(rms) for 10 Hz to 10 kHz and ENOB of 7.21 at 31.25 kS/s. The implemented system successfully recorded multi-channel neural activities in vivo from a primate and demonstrated modular expandability using the ISCOM with power consumption of 160 µW. MDPI 2018-01-17 /pmc/articles/PMC5796353/ /pubmed/29342103 http://dx.doi.org/10.3390/s18010263 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chang, Sun-Il
Park, Sung-Yun
Yoon, Euisik
Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems
title Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems
title_full Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems
title_fullStr Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems
title_full_unstemmed Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems
title_short Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems
title_sort minimally-invasive neural interface for distributed wireless electrocorticogram recording systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796353/
https://www.ncbi.nlm.nih.gov/pubmed/29342103
http://dx.doi.org/10.3390/s18010263
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