ReviewFrontiers in neuroscience2022
Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A review.
Review in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The application of fNIRS in studies on occupational workload: a systematic review.Frontiers in public health · 2025Pooled it
- Interpolation and Imputation Strategies for Missing Segments in Continuous Pressure-Flow Cerebral Bio-Signals: A Systematic Scoping Review.Sensors (Basel, Switzerland) · 2026Article
- Age-related neural inefficiency: fNIRS evidence of prefrontal hyperactivation during emotional response inhibition.GeroScience · 2026Article
- A fNIRS hyperscanning study on enhancing intimacy through emotional self-disclosure from the discloser-responder perspective.BMC psychology · 2026Article
- Simultaneous estimation of absolute concentrations of chromophores and the differential pathlength factor in forearm muscle using spectral derivatives.Biomedical optics express · 2026Article
- From Finger Taps to Footsteps: Gait as a Model for Investigating and Training Rhythmic Abilities.Annals of the New York Academy of Sciences · 2026Review
- Spatiotemporal disruption of prefrontal dynamics during affective association in depression: an fNIRS case-control study.BMC psychiatry · 2026Article
- Impaired task-dependent cerebral cortex oxygenation in Glut1 deficiency.Frontiers in neuroscience · 2026Article
- A Pocket Laboratory for Functional Neuroimaging Research Using Mobile Visual Oddball, Multimodal Electroencephalography, and Functional Near-Infrared Spectroscopy Imaging: Instrument Validation Study.JMIR neurotechnology · 2026Article
- "hDOS": an automated hybrid diffuse optical device for real-time noninvasive tissue monitoring: precision andJournal of biomedical optics · 2025Article
- Transformer-based deep learning model for predicting fNIRS short-channel signals.Neurophotonics · 2025Article
- Functional Near-Infrared Spectroscopy in Schizophrenia Research: Progress, Challenges, and Future Directions.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness.Frontiers in neurology · 2025Review
- From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Disentangling the impact of motion artifact correction algorithms on functional near-infrared spectroscopy-based brain network analysis.Neurophotonics · 2024Article
- NiReject: toward automated bad channel detection in functional near-infrared spectroscopy.Neurophotonics · 2024Article
- Artifact Management for Cerebral Near-Infrared Spectroscopy Signals: A Systematic Scoping Review.Bioengineering (Basel, Switzerland) · 2024Article
- Distinguishing motion artifacts during optical fiber-basedNeurophotonics · 2024Article
- Using spectral derivatives to remove the influence of hair on optical images of the static absorbing properties of tissue-like turbid media.Neurophotonics · 2024Article
- Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications.Frontiers in neuroergonomics · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
With the emergence of an increasing number of functional near-infrared spectroscopy (fNIRS) devices, the significant deterioration in measurement caused by motion artifacts has become an essential research topic for fNIRS applications. However, a high requirement for mathematics and programming limits the number of related researches. Therefore, here we provide the first comprehensive review for motion artifact removal in fNIRS aiming to (i) summarize the latest achievements, (ii) present the significant solutions and evaluation metrics from the perspective of application and reproduction, and (iii) predict future topics in the field. The present review synthesizes information from fifty-one journal articles (screened according to three criteria). Three hardware-based solutions and nine algorithmic solutions are summarized, and their application requirements (compatible signal types, the availability for online applications, and limitations) and extensions are discussed. Five metrics for noise suppression and two metrics for signal distortion were synthesized to evaluate the motion artifact removal methods. Moreover, we highlight three deficiencies in the existing research: (i) The balance between the use of auxiliary hardware and that of an algorithmic solution is not clarified; (ii) few studies mention the filtering delay of the solutions, and (iii) the robustness and stability of the solution under extreme application conditions are not discussed.
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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.