Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783297490601115648 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5796353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT changsunil minimallyinvasiveneuralinterfacefordistributedwirelesselectrocorticogramrecordingsystems AT parksungyun minimallyinvasiveneuralinterfacefordistributedwirelesselectrocorticogramrecordingsystems AT yooneuisik minimallyinvasiveneuralinterfacefordistributedwirelesselectrocorticogramrecordingsystems |