"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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[2] A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infrared Spectroscopy (NIRS) Cerebral Functional Activity Data
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[4] Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review
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[7] Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks
[8] The feasibility of utilizing EEG-fNIRS to characterize the cortical activation difference between healthy subjects and post-stroke patients
[9] Optimal length determination of the moving average filter for power system applications
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[10] Low-Noise Transimpedance Amplifier Dedicated to Biomedical Devices
[11] Low-Noise Front-End Receiver Dedicated to Biomedical Devices: NIRS Acquisition System
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[12] Low-noise transimpedance amplifier dedicated to biomedical devices: Near infrared spectroscopy system
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[13] Physiological noise cancellation in fNIRS using an adaptive filter based on mutual information
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[14] Automatic depression discrimination on FNIRS by using general linear model and SVM
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on, 2014