A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking

Functional near infrared spectroscopy (fNIRS) is a neuroimaging technique that allows to monitor the functional hemoglobin oscillations related to cortical activity. One of the main issues related to fNIRS applications is the motion artefact removal, since a corrupted physiological signal is not cor...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 21; číslo 15; s. 5117
Hlavní autoři:	Perpetuini, David, Cardone, Daniela, Filippini, Chiara, Chiarelli, Antonio Maria, Merla, Arcangelo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 28.07.2021 MDPI
Témata:	Algorithms Decomposition functional near infrared spectroscopy (fNIRS) Hemodynamics infrared imaging infrared thermography Motion motion artefacts Noise Physiology Principal components analysis Sensors Spectroscopy, Near-Infrared Thermography Wavelet Analysis wavelet coherence wavelet transform Wavelet transforms infrared thermography infrared imaging wavelet transform functional near infrared spectroscopy (fNIRS) motion artefacts tracking algorithms wavelet coherence
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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