4.6 Article

Deep-learning informed Kalman filtering for priori-free and real-time hemodynamics extraction in functional near-infrared spectroscopy

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Biochemical Research Methods

MCX Cloud—a modern, scalable, high-performance and in-browser Monte Carlo simulation platform with cloud computing

Qianqian Fang et al.

JOURNAL OF BIOMEDICAL OPTICS (2022)

Article Neurosciences

Deep learning-based motion artifact removal in functional near-infrared spectroscopy

Yuanyuan Gao et al.

Summary: This study presents a motion artifact removal method for fNIRS data using a deep learning approach. The developed deep learning model, with a specific loss function and generated training data, outperforms conventional methods in removing motion artifacts.

NEUROPHOTONICS (2022)

Article Neurosciences

Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data

Antonio Ortega-Martinez et al.

Summary: Functional near-infrared spectroscopy (fNIRS) is a noninvasive technique for measuring hemodynamic changes related to neural function. It has been proposed for applications such as brain-computer interfaces. However, the presence of confounding factors makes signal interpretation challenging, and finding suitable methods for optimizing signal interpretation is necessary.

NEUROPHOTONICS (2022)

Article Optics

Suppressing physiological interferences and physical noises in functional diffuse optical tomography via tandem inversion filtering and LSTM classification

Dongyuan Liu et al.

Summary: The proposed tandem method combines inversion filtering with LSTM classification to effectively suppress physiological interferences and physical noises in fDOT, achieving improved performance. This method can be potentially applied in real-time neuroimaging to acquire cortical neural activation information with improved reliability and resolution.

OPTICS EXPRESS (2021)

Review Engineering, Biomedical

Toward Neuroscience of the Everyday World (NEW) using functional near-infrared spectroscopy

Alexander von Luehmann et al.

Summary: Functional near-infrared spectroscopy (fNIRS) assesses human brain activity by measuring changes in cerebral hemoglobin concentrations, and recent advances in technology and design have made fNIRS a viable and cost-effective complement to functional magnetic resonance imaging. The availability of fNIRS and electroencephalography for mobile brain imaging is leading towards a new domain termed Neuroscience of the Everyday World (NEW).

CURRENT OPINION IN BIOMEDICAL ENGINEERING (2021)

Review Computer Science, Interdisciplinary Applications

Application of Functional Near-Infrared Spectroscopy to Measure Engineering Decision-Making and Design Cognition: Literature Review and Synthesis of Methods

Mo Hu et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2019)

Article Neuroimaging

Identification of autism spectrum disorder using deep learning and the ABIDE dataset

Anibal Solon Heinsfeld et al.

NEUROIMAGE-CLINICAL (2018)

Article Biochemical Research Methods

Wavelet-based method for removing global physiological noise in functional near-infrared spectroscopy

Lian Duan et al.

BIOMEDICAL OPTICS EXPRESS (2018)

Article Neurosciences

Optimal feature selection from fNIRS signals using genetic algorithms for BCI

Farzan Majeed Noori et al.

NEUROSCIENCE LETTERS (2017)

Review Neurosciences

fNIRS-based brain-computer interfaces: a review

Noman Naseer et al.

FRONTIERS IN HUMAN NEUROSCIENCE (2015)

Article Behavioral Sciences

Optimal hemodynamic response model for functional near-infrared spectroscopy

Muhammad A. Kamran et al.

FRONTIERS IN BEHAVIORAL NEUROSCIENCE (2015)

Editorial Material Neurosciences

Twenty years of functional near-infrared spectroscopy: introduction for the special issue

David A. Boas et al.

NEUROIMAGE (2014)

Article Biochemical Research Methods

State-space models of impulse hemodynamic responses over motor, somatosensory, and visual cortices

Keum-Shik Hong et al.

BIOMEDICAL OPTICS EXPRESS (2014)

Article Biochemical Research Methods

Intra- and extra-cranial effects of transient blood pressure changes on brain near-infrared spectroscopy (NIRS) measurements

Ludovico Minati et al.

JOURNAL OF NEUROSCIENCE METHODS (2011)

Article Engineering, Biomedical

Kalman estimator- and general linear model-based on-line brain activation mapping by near-infrared spectroscopy

Xiao-Su Hu et al.

BIOMEDICAL ENGINEERING ONLINE (2010)

Article Engineering, Biomedical

The modified Beer-Lambert law revisited

L Kocsis et al.

PHYSICS IN MEDICINE AND BIOLOGY (2006)