Bayesian Temporal Prediction: A Robust Algorithm for Real-Time EEG Phase-Dependent Brain Stimulation

The widespread adoption of BTP in research and clinical settings has the potential to enhance treatment efficacy and minimize inter- and intra-individual variability in brain stimulation interventions.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-07-16
DOI
https://doi.org/10.1109/tbme.2025.3589970
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Bayesian Temporal Prediction: A Robust Algorithm for Real-Time EEG Phase-Dependent Brain Stimulation

Malte R. Güth, Ivan Alekseichuk, Sina Shirinpour, Zachary Haigh et al.
IEEE Transactions on Biomedical Engineering
EEG and Brain-Computer Interfaces
article

Bayesian Temporal Prediction: A Robust Algorithm for Real-Time EEG Phase-Dependent Brain Stimulation

Malte R. Güth, Ivan Alekseichuk, Sina Shirinpour, Zachary Haigh, Miles Wischnewski, Alexander Opitz
article en

Abstract

The widespread adoption of BTP in research and clinical settings has the potential to enhance treatment efficacy and minimize inter- and intra-individual variability in brain stimulation interventions.

IEEE Transactions on Biomedical EngineeringVol. 73(2)
Northwestern University (US), University of Minnesota (US), University of Groningen (NL)
National Science Foundation, National Institute of Mental Health
Openalex Percentile: Top 83%
EEG and Brain-Computer Interfaces
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