ArticleFrontiers in human neuroscience2019
A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling.
Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
79 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Systematic Review of Techniques for Artifact Detection and Artifact Category Identification in Electroencephalography from Wearable Devices.Sensors (Basel, Switzerland) · 2025Pooled it
- A systematic review of mobile brain/body imaging studies using the P300 event-related potentials to investigate cognition beyond the laboratory.Cognitive, affective & behavioral neuroscience · 2024Pooled it
- Double-blind, randomized, placebo-controlled pilot clinical trial with gamma-band transcranial alternating current stimulation for the treatment of schizophrenia refractory auditory hallucinations.Translational psychiatry · 2025Trial
- A mobile EEG study on the psychophysiological effects of walking and crowding in indoor and outdoor urban environments.Scientific reports · 2022Trial
- Closed-loop transcranial alternating current stimulation (tACS) reduces cue reactivity and improves inhibitory control in methamphetamine use disorder with frequency and timing specificity.Molecular psychiatry · 2026Article
- Around the Clock: Wearing a Flex-Printed trEEGrid Electrode Patch and Miniaturized Amplifier for Nearly 24 Hours Across Daytime and Overnight EEG Sessions.Sensors (Basel, Switzerland) · 2026Article
- Inclusive mobile brain-body imaging achieves equivalent EEG data quality across racial groups.PLOS digital health · 2026Article
- Smart Wearable EEG Devices: A Review of Lightweight, Multi-Sensor Systems for Sleep and Everyday Neurophysiology.Biosensors · 2026Review
- A portable solution for simultaneous human movement and mobile EEG acquisition: readiness potential for basketball free-throw shooting.Experimental brain research · 2026Article
- Suppressing Non-Stationary Motion Artefacts in Mobile EEG Using Generalized Eigenvalue Decomposition.Sensors (Basel, Switzerland) · 2026Article
- Neurophysiological prediction of competitive orientation via EEG during outcome evaluation in gamified learning.NPJ science of learning · 2026Article
- Evaluation of video background and stimulus transparency in a visual ERP-based BCI under RSVP.Medical & biological engineering & computing · 2026Article
- The heartbeat evoked potential and the prediction of functional seizure semiology.Brain communications · 2026Article
- Stroke recovery beyond initial severity: the complementary roles of brain structure and brain function in acute stroke.Brain communications · 2026Article
- Neural changes to transcranial alternating current stimulation in the gamma range over the left frontoparietal network: A preliminary eLORETA EEG study.AIMS neuroscience · 2026Article
- Review
- Critical role of EEG signals in assessment of sex-specific insights in neurological diagnostics via machine learning approach.Scientific reports · 2025Article
- A low-latency neural inference framework for real-time handwriting recognition from EEG signals on an edge device.Scientific reports · 2025Article
- A hybrid neuromarketing approach exploiting EEG graph signal processing and gaze dynamic patterning.Brain informatics · 2025Article
- Instantiating the onEEGwaveLAD Framework for Real-Time Muscle Artefact Identification and Mitigation in EEG Signals.Sensors (Basel, Switzerland) · 2025Article
19 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artifact Subspace Reconstruction (ASR) is an adaptive method for the online or offline correction of artifacts comprising multichannel electroencephalography (EEG) recordings. It repeatedly computes a principal component analysis (PCA) on covariance matrices to detect artifacts based on their statistical properties in the component subspace. We adapted the existing ASR implementation by using Riemannian geometry for covariance matrix processing. EEG data that were recorded on smartphone in both outdoors and indoors conditions were used for evaluation (
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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.