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Wearable, Integrated EEG–fNIRS Technologies: A Review
There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG–fNIRS can provide a comprehensive picture of brain electrical and hemodynamic function and has been applied...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469799/ https://www.ncbi.nlm.nih.gov/pubmed/34577313 http://dx.doi.org/10.3390/s21186106 |
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author | Uchitel, Julie Vidal-Rosas, Ernesto E. Cooper, Robert J. Zhao, Hubin |
author_facet | Uchitel, Julie Vidal-Rosas, Ernesto E. Cooper, Robert J. Zhao, Hubin |
author_sort | Uchitel, Julie |
collection | PubMed |
description | There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG–fNIRS can provide a comprehensive picture of brain electrical and hemodynamic function and has been applied across various fields of brain science. The development of wearable, mechanically and electrically integrated EEG–fNIRS technology is a critical next step in the evolution of this field. A suitable system design could significantly increase the data/image quality, the wearability, patient/subject comfort, and capability for long-term monitoring. Here, we present a concise, yet comprehensive, review of the progress that has been made toward achieving a wearable, integrated EEG–fNIRS system. Significant marks of progress include the development of both discrete component-based and microchip-based EEG–fNIRS technologies; modular systems; miniaturized, lightweight form factors; wireless capabilities; and shared analogue-to-digital converter (ADC) architecture between fNIRS and EEG data acquisitions. In describing the attributes, advantages, and disadvantages of current technologies, this review aims to provide a roadmap toward the next generation of wearable, integrated EEG–fNIRS systems. |
format | Online Article Text |
id | pubmed-8469799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84697992021-09-27 Wearable, Integrated EEG–fNIRS Technologies: A Review Uchitel, Julie Vidal-Rosas, Ernesto E. Cooper, Robert J. Zhao, Hubin Sensors (Basel) Review There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG–fNIRS can provide a comprehensive picture of brain electrical and hemodynamic function and has been applied across various fields of brain science. The development of wearable, mechanically and electrically integrated EEG–fNIRS technology is a critical next step in the evolution of this field. A suitable system design could significantly increase the data/image quality, the wearability, patient/subject comfort, and capability for long-term monitoring. Here, we present a concise, yet comprehensive, review of the progress that has been made toward achieving a wearable, integrated EEG–fNIRS system. Significant marks of progress include the development of both discrete component-based and microchip-based EEG–fNIRS technologies; modular systems; miniaturized, lightweight form factors; wireless capabilities; and shared analogue-to-digital converter (ADC) architecture between fNIRS and EEG data acquisitions. In describing the attributes, advantages, and disadvantages of current technologies, this review aims to provide a roadmap toward the next generation of wearable, integrated EEG–fNIRS systems. MDPI 2021-09-12 /pmc/articles/PMC8469799/ /pubmed/34577313 http://dx.doi.org/10.3390/s21186106 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Uchitel, Julie Vidal-Rosas, Ernesto E. Cooper, Robert J. Zhao, Hubin Wearable, Integrated EEG–fNIRS Technologies: A Review |
title | Wearable, Integrated EEG–fNIRS Technologies: A Review |
title_full | Wearable, Integrated EEG–fNIRS Technologies: A Review |
title_fullStr | Wearable, Integrated EEG–fNIRS Technologies: A Review |
title_full_unstemmed | Wearable, Integrated EEG–fNIRS Technologies: A Review |
title_short | Wearable, Integrated EEG–fNIRS Technologies: A Review |
title_sort | wearable, integrated eeg–fnirs technologies: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469799/ https://www.ncbi.nlm.nih.gov/pubmed/34577313 http://dx.doi.org/10.3390/s21186106 |
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