Adaptive filtering of physiological noises in fNIRS data

Adaptive filtering of physiological noises in fNIRS data

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 t...

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Bibliographic Details
Main Authors: Hoang-Dung Nguyen, So-Hyeon Yoo, M. Raheel Bhutta, Keum-Shik Hong
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BioMedical Engineering OnLine
Subjects:
Functional near-infrared spectroscopy (fNIRS)
Hemodynamic response (HR)
Recursive least squares estimation (RLSE)
Exponential forgetting
Real time estimation
State space model
Online Access:http://link.springer.com/article/10.1186/s12938-018-0613-2

Internet

http://link.springer.com/article/10.1186/s12938-018-0613-2

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