Brain Function Diagnosis Enhanced Using Denoised fNIRS Raw Signals

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

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"Brain Function Diagnosis Enhanced Using Denoised fNIRS Raw Signals"
written by Ahmad Chaddad,
published by Journal of Biomedical Science and Engineering, Vol.7 No.4, 2014

has been cited by the following article(s):

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CrossRef

[1]	NIRS-ICA: a MATLAB toolbox for independent component analysis applied in fNIRS studies
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[2]	A consensus guide to using functional near-infrared spectroscopy in gait and posture research
	Yahya… - Gait & …, 2021

[3]	Using Functional Near-Infrared Spectroscopy to Detect a Fear of Heights Response to a Virtual Reality Environment
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[4]	A consensus guide to using functional near-infrared spectroscopy in posture and gait research
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[5]	A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infrared Spectroscopy (NIRS) Cerebral Functional Activity Data
	Cognitive Computation, 2018

[6]	Single-trial classification of fNIRS signals in four directions motor imagery tasks measured from prefrontal cortex
	2018

[7]	Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review
	2018

[8]	Noise Removed by Processing the Lightness and Chromatic Components Basic on YCbCr Color Space
	2017

[9]	Predicting Obesity Using Longitudinal Near Infra-Red Spectroscopy (NIRS) Data
	ICCDA 2017 Proceedings of the International Conference on Compute and Data Analysis, 2017

[10]	Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks
	2017

[11]	The feasibility of utilizing EEG-fNIRS to characterize the cortical activation difference between healthy subjects and post-stroke patients
	2017

[12]	Human motor cortex detection using wavelet threshold algorithm and FNIRS technology
	Journal of Technical Education …, 2017

[13]	Optimal length determination of the moving average filter for power system applications
	Biomedicine, 2015

[14]	Low-Noise Transimpedance Amplifier Dedicated to Biomedical Devices
	2014

[15]	Low-Noise Front-End Receiver Dedicated to Biomedical Devices: NIRS Acquisition System
	Circuits and Systems, 2014

[16]	Low-noise transimpedance amplifier dedicated to biomedical devices: Near infrared spectroscopy system
	Control, Decision and Information Technologies (CoDIT), 2014 International Conference on, 2014

[17]	Physiological noise cancellation in fNIRS using an adaptive filter based on mutual information
	Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on, 2014

[18]	Automatic depression discrimination on FNIRS by using general linear model and SVM
	Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on, 2014

[1]	Improving fNIRS Signal Quality Using Smoothing Filtering 2023 Progress in Applied Electrical Engineering (PAEE), 2023 DOI:10.1109/PAEE59932.2023.10244393

[2]	NIRS-ICA: A MATLAB Toolbox for Independent Component Analysis Applied in fNIRS Studies Frontiers in Neuroinformatics, 2021 DOI:10.3389/fninf.2021.683735

[3]	Single-Trial Classification of fNIRS Signals in Four Directions Motor Imagery Tasks Measured From Prefrontal Cortex IEEE Transactions on NanoBioscience, 2018 DOI:10.1109/TNB.2018.2839736

[4]	Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review Journal of Clinical Medicine, 2018 DOI:10.3390/jcm7120466

[5]	Predicting Obesity Using Longitudinal Near Infra-Red Spectroscopy (NIRS) Data Proceedings of the International Conference on Compute and Data Analysis - ICCDA '17, 2017 DOI:10.1145/3093241.3093286

[6]	Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017 DOI:10.1109/BIBM.2017.8217676

[7]	Predicting Obesity Using Longitudinal Near Infra-Red Spectroscopy (NIRS) Data Proceedings of the International Conference on Compute and Data Analysis, 2017 DOI:10.1145/3093241.3093286

[8]	Proceedings of the 2015 Chinese Intelligent Automation Conference Lecture Notes in Electrical Engineering, 2015 DOI:10.1007/978-3-662-46469-4_27

[9]	Low-Noise Front-End Receiver Dedicated to Biomedical Devices: NIRS Acquisition System Circuits and Systems, 2014 DOI:10.4236/cs.2014.58021

[10]	Automatic depression discrimination on FNIRS by using general linear model and SVM 2014 7th International Conference on Biomedical Engineering and Informatics, 2014 DOI:10.1109/BMEI.2014.7002785

[11]	Low-noise transimpedance amplifier dedicated to biomedical devices: Near infrared spectroscopy system 2014 International Conference on Control, Decision and Information Technologies (CoDIT), 2014 DOI:10.1109/CoDIT.2014.6996963

[12]	Physiological noise cancellation in fNIRS using an adaptive filter based on mutual information 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014 DOI:10.1109/SMC.2014.6974187

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