ArticleSensors (Basel, Switzerland)2021
A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- An exploratory, in-field, multimodal assessment of cervical function in adults following to high-altitude trekking with light backpack.Physiological reports · 2026Article
- Spatiotemporal disruption of prefrontal dynamics during affective association in depression: an fNIRS case-control study.BMC psychiatry · 2026Article
- Diffuse optical tomography system for acute traumatic brain injury in the intensive care unit: a prospective study on healthy volunteers.Journal of biomedical optics · 2025Article
- Artifact Management for Cerebral Near-Infrared Spectroscopy Signals: A Systematic Scoping Review.Bioengineering (Basel, Switzerland) · 2024Article
- Data-Driven Identification of Stroke through Machine Learning Applied to Complexity Metrics in Multimodal Electromyography and Kinematics.Entropy (Basel, Switzerland) · 2024Article
- Cortical activity in patients with high-functioning ischemic stroke during the Purdue Pegboard Test: insights into bimanual coordinated fine motor skills with functional near-infrared spectroscopy.Neural regeneration research · 2024Article
- An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection.IEEE transactions on very large scale integration (VLSI) systems · 2024Article
- Subject-specific information enhances spatial accuracy of high-density diffuse optical tomography.Frontiers in neuroergonomics · 2024Article
- Exploratory insights into prefrontal cortex activity in continuous glucose monitoring: findings from a portable wearable functional near-infrared spectroscopy system.Frontiers in neuroscience · 2024Article
- Can Data-Driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?Sensors (Basel, Switzerland) · 2023Article
- Psychophysiological Assessment of Children with Cerebral Palsy during Robotic-Assisted Gait Training through Infrared Imaging.International journal of environmental research and public health · 2022Article
- Identification of Functional Cortical Plasticity in Children with Cerebral Palsy Associated to Robotic-Assisted Gait Training: An fNIRS Study.Journal of clinical medicine · 2022Article
- Motion artifact correction for resting-state neonatal functional near-infrared spectroscopy through adaptive estimation of physiological oscillation denoising.Neurophotonics · 2022Article
- Altered Microcirculation in Alzheimer's Disease Assessed by Machine Learning Applied to Functional Thermal Imaging Data.Bioengineering (Basel, Switzerland) · 2022Article
- Central and Peripheral Thermal Signatures of Brain-Derived Fatigue during Unilateral Resistance Exercise: A Preliminary Study.Biology · 2022Article
- Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A review.Frontiers in neuroscience · 2022Review
- Functional quantification of oral motor cortex at rest and during tasks using activity phase ratio: A zero-setting vector functional near-infrared spectroscopy study.Frontiers in physiology · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 correctly indicative of the underlying biological process. A novel procedure for motion artifact correction for fNIRS signals based on wavelet transform and video tracking developed for infrared thermography (IRT) is presented. In detail, fNIRS and IRT were concurrently recorded and the optodes' movement was estimated employing a video tracking procedure developed for IRT recordings. The wavelet transform of the fNIRS signal and of the optodes' movement, together with their wavelet coherence, were computed. Then, the inverse wavelet transform was evaluated for the fNIRS signal excluding the frequency content corresponding to the optdes' movement and to the coherence in the epochs where they were higher with respect to an established threshold. The method was tested using simulated functional hemodynamic responses added to real resting-state fNIRS recordings corrupted by movement artifacts. The results demonstrated the effectiveness of the procedure in eliminating noise, producing results with higher signal to noise ratio with respect to another validated method.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.