Adaptive filtering of physiological noises in fNIRS data
Open Access
- 4 December 2018
- journal article
- research article
- Published by Springer Science and Business Media LLC in BioMedical Engineering OnLine
- Vol. 17 (1), 1-23
- https://doi.org/10.1186/s12938-018-0613-2
Abstract
The study presents a recursive least-squares estimation method with an exponential forgetting factor for noise removal in functional near-infrared spectroscopy data and extraction of hemodynamic responses (HRs) from the measured data. The HR is modeled as a linear regression form in which the expected HR, the first and second derivatives of the expected HR, a short-separation measurement data, three physiological noises, and the baseline drift are included as components in the regression vector. The proposed method is applied to left-motor-cortex experiments on the right thumb and little finger movements in five healthy male participants. The algorithm is evaluated with respect to its performance improvement in terms of contrast-to-noise ratio in comparison with Kalman filter, low-pass filtering, and independent component method. The experimental results show that the proposed model achieves reductions of 77% and 99% in terms of the number of channels exhibiting higher contrast-to-noise ratios in oxy-hemoglobin and deoxy-hemoglobin, respectively. The approach is robust in obtaining consistent HR data. The proposed method is applied for both offline and online noise removal.Keywords
Funding Information
- The National Research Foundation (NRF) of Korea under the auspices of the Ministry of Science and ICT, Republic of Korea (NRF-2017R1A2A1A17069430, NRF-2017R1A4A1015627)
This publication has 87 references indexed in Scilit:
- Autoregressive model based algorithm for correcting motion and serially correlated errors in fNIRSBiomedical Optics Express, 2013
- Concurrent application of TMS and near-infrared optical imaging: methodological considerations and potential artifactsFrontiers in Human Neuroscience, 2013
- Short separation channel location impacts the performance of short channel regression in NIRSNeuroImage, 2012
- A Systematic Comparison of Motion Artifact Correction Techniques for Functional Near-Infrared SpectroscopyFrontiers in Neuroscience, 2012
- Partitioning of Physiological Noise Signals in the Brain with Concurrent Near-Infrared Spectroscopy and fMRIJournal of Cerebral Blood Flow & Metabolism, 2011
- Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modelingNeuroImage, 2011
- Kalman estimator- and general linear model-based on-line brain activation mapping by near-infrared spectroscopyBioMedical Engineering OnLine, 2010
- Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamicsNeuroImage, 2010
- Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear modelNeuroImage, 2009
- A New Approach to Linear Filtering and Prediction ProblemsJournal of Basic Engineering, 1960