Progress on Hybrid EEG-fNIRs system and its application

Yiyang Duan; Xiangyue Liu; Yuan Lian

doi:10.1145/3500931.3500932

Progress on Hybrid EEG-fNIRs system and its application

Yiyang Duan, Xiangyue Liu, Yuan Lian

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

3 Citations (Scopus)

Abstract

Monitoring brain activity is of great significance in biomedical, neuroscience, and even computer science. Though many technologies can detect brain activity, such as EEG, MEG, fMRI and fNIRS, they all have limitations on spatial resolution or time resolution. Combining EEG and fNIRS systems can detect brain activity at both high time and spatial resolution. In this review article, basic principles and current application of EEG-fNIRS technology would be introduced, advantages and disadvantages of the technology will also be included. Moreover, we will emphasize its wide applicability in cognitive neuroscience with its great potential in further understanding human brain cognitive function and future directions to improve the hybrid system.

Original language	English
Title of host publication	Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021
Publisher	Association for Computing Machinery
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781450395588
DOIs	https://doi.org/10.1145/3500931.3500932
Publication status	Published - 29 Oct 2021
Externally published	Yes
Event	2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021 - Virtual, Online, China Duration: 29 Oct 2021 → 31 Oct 2021

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021
Country/Territory	China
City	Virtual, Online
Period	29/10/21 → 31/10/21

Keywords

cognitive neuroscience
Hybrid EEG-fNIRs system
Monitoring brain activity

Access to Document

10.1145/3500931.3500932

Cite this

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title = "Progress on Hybrid EEG-fNIRs system and its application",

abstract = "Monitoring brain activity is of great significance in biomedical, neuroscience, and even computer science. Though many technologies can detect brain activity, such as EEG, MEG, fMRI and fNIRS, they all have limitations on spatial resolution or time resolution. Combining EEG and fNIRS systems can detect brain activity at both high time and spatial resolution. In this review article, basic principles and current application of EEG-fNIRS technology would be introduced, advantages and disadvantages of the technology will also be included. Moreover, we will emphasize its wide applicability in cognitive neuroscience with its great potential in further understanding human brain cognitive function and future directions to improve the hybrid system.",

keywords = "cognitive neuroscience, Hybrid EEG-fNIRs system, Monitoring brain activity",

author = "Yiyang Duan and Xiangyue Liu and Yuan Lian",

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day = "29",

doi = "10.1145/3500931.3500932",

language = "English",

series = "ACM International Conference Proceeding Series",

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pages = "1--6",

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}

Duan, Y, Liu, X & Lian, Y 2021, Progress on Hybrid EEG-fNIRs system and its application. in Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 1-6, 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021, Virtual, Online, China, 29/10/21. https://doi.org/10.1145/3500931.3500932

Progress on Hybrid EEG-fNIRs system and its application. / Duan, Yiyang; Liu, Xiangyue; Lian, Yuan.
Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021. Association for Computing Machinery, 2021. p. 1-6 (ACM International Conference Proceeding Series).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Progress on Hybrid EEG-fNIRs system and its application

AU - Duan, Yiyang

AU - Liu, Xiangyue

AU - Lian, Yuan

PY - 2021/10/29

Y1 - 2021/10/29

N2 - Monitoring brain activity is of great significance in biomedical, neuroscience, and even computer science. Though many technologies can detect brain activity, such as EEG, MEG, fMRI and fNIRS, they all have limitations on spatial resolution or time resolution. Combining EEG and fNIRS systems can detect brain activity at both high time and spatial resolution. In this review article, basic principles and current application of EEG-fNIRS technology would be introduced, advantages and disadvantages of the technology will also be included. Moreover, we will emphasize its wide applicability in cognitive neuroscience with its great potential in further understanding human brain cognitive function and future directions to improve the hybrid system.

AB - Monitoring brain activity is of great significance in biomedical, neuroscience, and even computer science. Though many technologies can detect brain activity, such as EEG, MEG, fMRI and fNIRS, they all have limitations on spatial resolution or time resolution. Combining EEG and fNIRS systems can detect brain activity at both high time and spatial resolution. In this review article, basic principles and current application of EEG-fNIRS technology would be introduced, advantages and disadvantages of the technology will also be included. Moreover, we will emphasize its wide applicability in cognitive neuroscience with its great potential in further understanding human brain cognitive function and future directions to improve the hybrid system.

KW - cognitive neuroscience

KW - Hybrid EEG-fNIRs system

KW - Monitoring brain activity

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DO - 10.1145/3500931.3500932

M3 - Conference Proceeding

AN - SCOPUS:85122072374

T3 - ACM International Conference Proceeding Series

SP - 1

EP - 6

BT - Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021

PB - Association for Computing Machinery

T2 - 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021

Y2 - 29 October 2021 through 31 October 2021

ER -

Progress on Hybrid EEG-fNIRs system and its application

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Conference

Keywords

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