Cargando…

Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A review

With the emergence of an increasing number of functional near-infrared spectroscopy (fNIRS) devices, the significant deterioration in measurement caused by motion artifacts has become an essential research topic for fNIRS applications. However, a high requirement for mathematics and programming limi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Ruisen, Hong, Keum-Shik, Yang, Dalin, Huang, Guanghao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576156/ https://www.ncbi.nlm.nih.gov/pubmed/36263362 http://dx.doi.org/10.3389/fnins.2022.878750

Ejemplares similares

Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study
por: Qing, Kunqiang, et al.
Publicado: (2021)

Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy
por: Yang, Dalin, et al.
Publicado: (2020)

A Systematic Comparison of Motion Artifact Correction Techniques for Functional Near-Infrared Spectroscopy
por: Cooper, Robert J., et al.
Publicado: (2012)

Deep learning-based motion artifact removal in functional near-infrared spectroscopy
por: Gao, Yuanyuan, et al.
Publicado: (2022)

Reduction of Onset Delay in Functional Near-Infrared Spectroscopy: Prediction of HbO/HbR Signals
por: Zafar, Amad, et al.
Publicado: (2020)

Physiological Noise Filtering in Functional Near-Infrared Spectroscopy Signals Using Wavelet Transform and Long-Short Term Memory Networks
por: Yoo, So-Hyeon, et al.
Publicado: (2023)

Controlling jaw-related motion artifacts in functional near-infrared spectroscopy
por: Zhang, Fan, et al.
Publicado: (2023)

Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application
por: Naseer, Noman, et al.
Publicado: (2016)

Effects of Acupuncture Therapy on MCI Patients Using Functional Near-Infrared Spectroscopy
por: Ghafoor, Usman, et al.
Publicado: (2019)

Hybrid motion artifact detection and correction approach for functional near-infrared spectroscopy measurements
por: Gao, Lin, et al.
Publicado: (2022)

Bundled-Optode Method in Functional Near-Infrared Spectroscopy
por: Nguyen, Hoang-Dung, et al.
Publicado: (2016)

The Temporal Muscle of the Head Can Cause Artifacts in Optical Imaging Studies with Functional Near-Infrared Spectroscopy
por: Schecklmann, Martin, et al.
Publicado: (2017)

Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain–Computer Interface
por: Arif, Saad, et al.
Publicado: (2021)

Magnetic-Stimulation-Related Physiological Artifacts in Hemodynamic Near-Infrared Spectroscopy Signals
por: Näsi, Tiina, et al.
Publicado: (2011)

TARGETED PRINCIPLE COMPONENT ANALYSIS: A NEW MOTION ARTIFACT CORRECTION APPROACH FOR NEAR-INFRARED SPECTROSCOPY
por: YÜCEL, MERYEM A., et al.
Publicado: (2013)

The Effect of Motion Artifacts on Near-Infrared Spectroscopy (NIRS) Data and Proposal of a Video-NIRS System
por: Satoh, Masayuki, et al.
Publicado: (2017)

Functional near-infrared spectroscopy for speech protocols: characterization of motion artifacts and guidelines for improving data analysis
por: Novi, Sergio L., et al.
Publicado: (2020)

Frequency-Domain Techniques for Cerebral and Functional Near-Infrared Spectroscopy
por: Fantini, Sergio, et al.
Publicado: (2020)

Motion Artifact Correction of Multi-Measured Functional Near-Infrared Spectroscopy Signals Based on Signal Reconstruction Using an Artificial Neural Network †
por: Lee, Gihyoun, et al.
Publicado: (2018)

Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface
por: Naseer, Noman, et al.
Publicado: (2016)

Concurrent application of TMS and near-infrared optical imaging: methodological considerations and potential artifacts
por: Parks, Nathan A.
Publicado: (2013)

Cortical Signal Analysis and Advances in Functional Near-Infrared Spectroscopy Signal: A Review
por: Kamran, Muhammad A., et al.
Publicado: (2016)

Motion artifact correction for resting-state neonatal functional near-infrared spectroscopy through adaptive estimation of physiological oscillation denoising
por: Yang, Mingxi, et al.
Publicado: (2022)

Kalman estimator- and general linear model-based on-line brain activation mapping by near-infrared spectroscopy
por: Hu, Xiao-Su, et al.
Publicado: (2010)

Quantitative comparison of correction techniques for removing systemic physiological signal in functional near-infrared spectroscopy studies
por: Santosa, Hendrik, et al.
Publicado: (2020)

The application of near infrared spectroscopy in nutritional intervention studies
por: Jackson, Philippa A., et al.
Publicado: (2013)

Near-infrared spectroscopy (NIRS) in functional research of prefrontal cortex
por: Masataka, Nobuo, et al.
Publicado: (2015)

Optimal hemodynamic response model for functional near-infrared spectroscopy
por: Kamran, Muhammad A., et al.
Publicado: (2015)

Compensatory movement detection by using near-infrared spectroscopy technology based on signal improvement method
por: Chen, Xiang, et al.
Publicado: (2023)

Systemic Review on Transcranial Electrical Stimulation Parameters and EEG/fNIRS Features for Brain Diseases
por: Yang, Dalin, et al.
Publicado: (2021)

Acupuncture enhances brain function in patients with mild cognitive impairment: evidence from a functional-near infrared spectroscopy study
por: Khan, M. N. Afzal, et al.
Publicado: (2022)

Near-infrared spectroscopy (NIRS) as a new tool for neuroeconomic research
por: Kopton, Isabella M., et al.
Publicado: (2014)

When Cooperation Was Efficient or Inefficient. Functional Near-Infrared Spectroscopy Evidence
por: Balconi, Michela, et al.
Publicado: (2017)

Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments
por: Balardin, Joana B., et al.
Publicado: (2017)

Integration of Spatial Information Increases Reproducibility in Functional Near-Infrared Spectroscopy
por: Novi, Sergio Luiz, et al.
Publicado: (2020)

NICA: A Novel Toolbox for Near-Infrared Spectroscopy Calculations and Analyses
por: Raggam, Philipp, et al.
Publicado: (2020)

Functional Near-Infrared Spectroscopy Neurofeedback Enhances Human Spatial Memory
por: Hou, Xin, et al.
Publicado: (2021)

Cerebral Representation of Sound Localization Using Functional Near-Infrared Spectroscopy
por: Tian, Xuexin, et al.
Publicado: (2021)

Comparison of motion correction techniques applied to functional near-infrared spectroscopy data from children (Erratum)
por: Hu, Xiao-Su, et al.
Publicado: (2020)

A Functional Near-Infrared Spectroscopy Study of State Anxiety and Auditory Working Memory Load
por: Tseng, Yi-Li, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_h1ik7ea6uosd9gcmftk0dfe03i