A deep learning approach to remove motion artifacts in fNIRS data analysis

Yuanyuan Gao; Lora Cavuoto; Pingkun Yan; Uwe Kruger; Steven Schwaitzberg; Suvranu De; Xavier Intes

doi:10.1364/BRAIN.2020.BM2C.7

A deep learning approach to remove motion artifacts in fNIRS data analysis

Yuanyuan Gao
, Lora Cavuoto
, Pingkun Yan
, Uwe Kruger
, Steven Schwaitzberg
, Suvranu De
, Xavier Intes

Rensselaer Polytechnic Institute

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

2 Scopus citations

Abstract

We established a neural network model to efficiently remove motion artifacts during fNIRS data processing.

Original language	English
Title of host publication	Optics and the Brain, BRAIN 2020
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580743
DOIs	https://doi.org/10.1364/BRAIN.2020.BM2C.7
State	Published - 2020
Event	Optics and the Brain, BRAIN 2020 - Washington, United States Duration: Apr 20 2020 → Apr 23 2020

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F176-BRAIN-2020
ISSN (Electronic)	2162-2701

Conference

Conference	Optics and the Brain, BRAIN 2020
Country/Territory	United States
City	Washington
Period	04/20/20 → 04/23/20

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10.1364/BRAIN.2020.BM2C.7

Cite this

@inproceedings{c7337f6069244cd7aaaacd6d6e57d5aa,

title = "A deep learning approach to remove motion artifacts in fNIRS data analysis",

abstract = "We established a neural network model to efficiently remove motion artifacts during fNIRS data processing.",

author = "Yuanyuan Gao and Lora Cavuoto and Pingkun Yan and Uwe Kruger and Steven Schwaitzberg and Suvranu De and Xavier Intes",

note = "Publisher Copyright: {\textcopyright} OSA 2020 {\textcopyright} 2020 The Author(s); Optics and the Brain, BRAIN 2020 ; Conference date: 20-04-2020 Through 23-04-2020",

year = "2020",

doi = "10.1364/BRAIN.2020.BM2C.7",

language = "English",

isbn = "9781943580743",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Optics and the Brain, BRAIN 2020",

address = "United States",

}

Gao, Y, Cavuoto, L, Yan, P, Kruger, U, Schwaitzberg, S, De, S & Intes, X 2020, A deep learning approach to remove motion artifacts in fNIRS data analysis. in Optics and the Brain, BRAIN 2020. Optics InfoBase Conference Papers, vol. Part F176-BRAIN-2020, Optica Publishing Group (formerly OSA), Optics and the Brain, BRAIN 2020, Washington, United States, 04/20/20. https://doi.org/10.1364/BRAIN.2020.BM2C.7

A deep learning approach to remove motion artifacts in fNIRS data analysis. / Gao, Yuanyuan; Cavuoto, Lora; Yan, Pingkun et al.
Optics and the Brain, BRAIN 2020. Optica Publishing Group (formerly OSA), 2020. (Optics InfoBase Conference Papers; Vol. Part F176-BRAIN-2020).

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

TY - GEN

T1 - A deep learning approach to remove motion artifacts in fNIRS data analysis

AU - Gao, Yuanyuan

AU - Cavuoto, Lora

AU - Yan, Pingkun

AU - Kruger, Uwe

AU - Schwaitzberg, Steven

AU - De, Suvranu

AU - Intes, Xavier

PY - 2020

Y1 - 2020

N2 - We established a neural network model to efficiently remove motion artifacts during fNIRS data processing.

AB - We established a neural network model to efficiently remove motion artifacts during fNIRS data processing.

UR - https://www.scopus.com/pages/publications/85091789952

U2 - 10.1364/BRAIN.2020.BM2C.7

DO - 10.1364/BRAIN.2020.BM2C.7

M3 - Conference contribution

AN - SCOPUS:85091789952

SN - 9781943580743

T3 - Optics InfoBase Conference Papers

BT - Optics and the Brain, BRAIN 2020

PB - Optica Publishing Group (formerly OSA)

T2 - Optics and the Brain, BRAIN 2020

Y2 - 20 April 2020 through 23 April 2020

ER -

A deep learning approach to remove motion artifacts in fNIRS data analysis

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