ArticleBiomedical engineering online2018
Adaptive filtering of physiological noises in fNIRS data.
Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Functional connectivity in whole-brain and network analysis differentiates minimally conscious from unresponsive patients: a resting-state fNIRS study.Journal of translational medicine · 2025Article
- Transformer-based deep learning model for predicting fNIRS short-channel signals.Neurophotonics · 2025Article
- The Impact of Distance and Altitude on Railway Environmental Noise Based on Cerebral Oxygenated Hemoglobin Saturation.Brain sciences · 2025Article
- A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Enhanced Joint Heart and Respiratory Rates Extraction from Functional Near-infrared Spectroscopy Signals Using Cumulative Curve Fitting Approximation.Journal of medical signals and sensors · 2025Article
- Artifact Management for Cerebral Near-Infrared Spectroscopy Signals: A Systematic Scoping Review.Bioengineering (Basel, Switzerland) · 2024Article
- [A deep transfer learning approach for cross-subject recognition of mental tasks based on functional near-infrared spectroscopy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- Hybrid Integrated Wearable Patch for Brain EEG-fNIRS Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Low frequency oscillations reflect neurovascular coupling and disappear after cerebral death.Scientific reports · 2024Article
- iVR-fNIRS: studying brain functions in a fully immersive virtual environment.Neurophotonics · 2024Review
- Retrieval of chromophore concentration changes in a digital human head model using analytical mean partial pathlengths of photons.Journal of biomedical optics · 2024Article
- Application of functional near-infrared spectroscopy (fNIRS) in tinnitus research: contemporary insights and perspectives.Frontiers in psychology · 2024Article
- Correlation between subcutaneous adipose tissue of the head and body mass index in children and young adults aged 8-19 years: implications for functional neuroimaging.Experimental biology and medicine (Maywood, N.J.) · 2024Article
- Physiological Noise Filtering in Functional Near-Infrared Spectroscopy Signals Using Wavelet Transform and Long-Short Term Memory Networks.Bioengineering (Basel, Switzerland) · 2023Article
- Scalable, modular continuous wave functional near-infrared spectroscopy system (Spotlight).Journal of biomedical optics · 2023Article
- Controlling jaw-related motion artifacts in functional near-infrared spectroscopy.Journal of neuroscience methods · 2023Article
- Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain.Neurophotonics · 2022Article
- Article
- Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis.Sensors (Basel, Switzerland) · 2022Article
- Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data.Neurophotonics · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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 the expected HR, the first and second derivatives of the expected HR, a short-separation measurement data, three physiological noises, and the baseline drift are included as components in the regression vector. The proposed method is applied to left-motor-cortex experiments on the right thumb and little finger movements in five healthy male participants. The algorithm is evaluated with respect to its performance improvement in terms of contrast-to-noise ratio in comparison with Kalman filter, low-pass filtering, and independent component method. The experimental results show that the proposed model achieves reductions of 77% and 99% in terms of the number of channels exhibiting higher contrast-to-noise ratios in oxy-hemoglobin and deoxy-hemoglobin, respectively. The approach is robust in obtaining consistent HR data. The proposed method is applied for both offline and online noise removal.
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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.