ArticleNeurophotonics2018
Motion artifact detection and correction in functional near-infrared spectroscopy: a new hybrid method based on spline interpolation method and Savitzky-Golay filtering.
Article in Neurophotonics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 1 of them a synthesis that pooled it.
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Who cites it
101 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional Near-Infrared Spectroscopy in the Study of Speech and Language Impairment Across the Life Span: A Systematic Review.American journal of speech-language pathology · 2020Pooled it
- Accuracy deficits during robotic time-constrained reaching are related to altered prefrontal cortex activity in children with cerebral palsy.Journal of neuroengineering and rehabilitation · 2024Trial
- Trial
- Sex-differences in resting state dorsolateral prefrontal cortex: comparing motion correction methods in resting state functional near-infrared spectroscopy (fNIRS).Brain structure & function · 2026Article
- Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world.Neurophotonics · 2026Article
- Transcutaneous auricular vagus nerve stimulation during a 3-back task: a high-density functional near-infrared spectroscopy study.Experimental brain research · 2026Article
- Interpolation and Imputation Strategies for Missing Segments in Continuous Pressure-Flow Cerebral Bio-Signals: A Systematic Scoping Review.Sensors (Basel, Switzerland) · 2026Article
- Reliability of Behavioral and fNIRS Neural Responses: Assessments During Posture-Inhibitory Control Dual Tasking.NeuroSci · 2026Article
- Article
- Investigating the effect of channel pruning on functional near-infrared spectroscopy data collected from children aged 5 to 24 months.Neurophotonics · 2026Article
- Towards an understanding of somatosensory perturbation on covert speech production: a functional near infrared spectroscopy study.Frontiers in human neuroscience · 2026Article
- Resting-state cortical activity, biomarkers and functional performance identify distinct biopsychosocial phenotypes in young adults with chronic postsurgical pain.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- DL-QC-fNIRS: a deep learning tool for automated quality control in functional near-infrared spectroscopy signals.Neurophotonics · 2026Article
- Functional symmetrization of neuromotor modules during locomotor development in human infants.Communications biology · 2025Article
- Patterns of prefrontal cortical activity associated with attention-demanding and motor aspects of dual-task walking as measured with functional near-infrared spectroscopy.Behavioral neuroscience · 2025Article
- Synthetic-data-driven LSTM framework for tracing cardiac pulsation in optical signals.Biomedical optics express · 2025Article
- The neural correlates of novel versus familiar metaphors in healthy young adults: A functional near-infrared spectroscopy study.bioRxiv : the preprint server for biology · 2025Article
- The neural bases of language processing during social and non-social contexts: a fNIRS study of autistic and neurotypical preschool-aged children.Molecular autism · 2025Article
- Interactive interdisciplinary pain research in adolescent and young adult females: a pilot investigation of brain, physiological, and emotional functioning following orthopedic surgery.Journal of pediatric psychology · 2025Article
- Real-time cortical activity during virtual reality practice in people with multiple sclerosis: a pilot fNIRS study.Journal of neuroengineering and rehabilitation · 2025Article
41 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
Abstract
Motion artifact contamination in near-infrared spectroscopy (NIRS) data has become an important challenge in realizing the full potential of NIRS for real-life applications. Various motion correction algorithms have been used to alleviate the effect of motion artifacts on the estimation of the hemodynamic response function. While smoothing methods, such as wavelet filtering, are excellent in removing motion-induced sharp spikes, the baseline shifts in the signal remain after this type of filtering. Methods, such as spline interpolation, on the other hand, can properly correct baseline shifts; however, they leave residual high-frequency spikes. We propose a hybrid method that takes advantage of different correction algorithms. This method first identifies the baseline shifts and corrects them using a spline interpolation method or targeted principal component analysis. The remaining spikes, on the other hand, are corrected by smoothing methods: Savitzky-Golay (SG) filtering or robust locally weighted regression and smoothing. We have compared our new approach with the existing correction algorithms in terms of hemodynamic response function estimation using the following metrics: mean-squared error, peak-to-peak error ([Formula: see text]), Pearson's correlation ([Formula: see text]), and the area under the receiver operator characteristic curve. We found that spline-SG hybrid method provides reasonable improvements in all these metrics with a relatively short computational time. The dataset and the code used in this study are made available online for the use of all interested researchers.
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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.