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A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface
All neural information systems (NIS) rely on sensing neural activity to supply commands and control signals for computers, machines and a variety of prosthetic devices. Invasive systems achieve a high signal-to-noise ratio (SNR) by eliminating the volume conduction problems caused by tissue and bone...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087371/ https://www.ncbi.nlm.nih.gov/pubmed/27669264 http://dx.doi.org/10.3390/s16101582 |
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author | Su, Yi Routhu, Sudhamayee Moon, Kee S. Lee, Sung Q. Youm, WooSub Ozturk, Yusuf |
author_facet | Su, Yi Routhu, Sudhamayee Moon, Kee S. Lee, Sung Q. Youm, WooSub Ozturk, Yusuf |
author_sort | Su, Yi |
collection | PubMed |
description | All neural information systems (NIS) rely on sensing neural activity to supply commands and control signals for computers, machines and a variety of prosthetic devices. Invasive systems achieve a high signal-to-noise ratio (SNR) by eliminating the volume conduction problems caused by tissue and bone. An implantable brain machine interface (BMI) using intracortical electrodes provides excellent detection of a broad range of frequency oscillatory activities through the placement of a sensor in direct contact with cortex. This paper introduces a compact-sized implantable wireless 32-channel bidirectional brain machine interface (BBMI) to be used with freely-moving primates. The system is designed to monitor brain sensorimotor rhythms and present current stimuli with a configurable duration, frequency and amplitude in real time to the brain based on the brain activity report. The battery is charged via a novel ultrasonic wireless power delivery module developed for efficient delivery of power into a deeply-implanted system. The system was successfully tested through bench tests and in vivo tests on a behaving primate to record the local field potential (LFP) oscillation and stimulate the target area at the same time. |
format | Online Article Text |
id | pubmed-5087371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50873712016-11-07 A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface Su, Yi Routhu, Sudhamayee Moon, Kee S. Lee, Sung Q. Youm, WooSub Ozturk, Yusuf Sensors (Basel) Article All neural information systems (NIS) rely on sensing neural activity to supply commands and control signals for computers, machines and a variety of prosthetic devices. Invasive systems achieve a high signal-to-noise ratio (SNR) by eliminating the volume conduction problems caused by tissue and bone. An implantable brain machine interface (BMI) using intracortical electrodes provides excellent detection of a broad range of frequency oscillatory activities through the placement of a sensor in direct contact with cortex. This paper introduces a compact-sized implantable wireless 32-channel bidirectional brain machine interface (BBMI) to be used with freely-moving primates. The system is designed to monitor brain sensorimotor rhythms and present current stimuli with a configurable duration, frequency and amplitude in real time to the brain based on the brain activity report. The battery is charged via a novel ultrasonic wireless power delivery module developed for efficient delivery of power into a deeply-implanted system. The system was successfully tested through bench tests and in vivo tests on a behaving primate to record the local field potential (LFP) oscillation and stimulate the target area at the same time. MDPI 2016-09-24 /pmc/articles/PMC5087371/ /pubmed/27669264 http://dx.doi.org/10.3390/s16101582 Text en © 2016 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 Su, Yi Routhu, Sudhamayee Moon, Kee S. Lee, Sung Q. Youm, WooSub Ozturk, Yusuf A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface |
title | A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface |
title_full | A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface |
title_fullStr | A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface |
title_full_unstemmed | A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface |
title_short | A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface |
title_sort | wireless 32-channel implantable bidirectional brain machine interface |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087371/ https://www.ncbi.nlm.nih.gov/pubmed/27669264 http://dx.doi.org/10.3390/s16101582 |
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