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independent component analysis runica algorithm  (MathWorks Inc)


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    MathWorks Inc independent component analysis runica algorithm
    Independent Component Analysis Runica Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/independent+component+analysis+runica+algorithm/pmc08094995-131-12-22
    Average 90 stars, based on 1 article reviews
    independent component analysis runica algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: 2024 Annual Meeting Abstracts - General Poster Discussion.
    Article Snippet: Purpose: The application of artificial intelligence (AI) for an efficient IMRT quality assurance (QA) —which uses AI to identify IMRT plans for selective measurement — has demonstrated promising results in properly triaging plans for QA and potentially reducing the workload for measurement-based QA.. Yet its clinical implementation requires a comprehensive risk assessment to ensure patient safety.. This work evaluated our AI-assisted hybrid quality assurance (AIHQA) workflow using failure mode and effect analysis (FMEA).

    Article Title: Brain dynamics of the interplay between auditory selective attention and working memory during melody encoding
    Article Snippet: Blinks, saccades, and heartbeats were removed from the signal thanks to an Independent Component Analysis (ICA), using eeglab MATLAB toolbox .

    Article Title: Neural geometry from mixed sensorimotor selectivity for predictive sensorimotor control
    Article Snippet: We also tried independent component analysis (ICA, MATLAB function ‘rica’), with similar results in .

    Article Title: Thalamic feedback shapes brain responses evoked by cortical stimulation in mice and humans.
    Article Snippet: Independent Component Analysis (runica function from Matlab) was used to remove the following EEG artifacts: eye movements, muscle activity, TMS decay.

    Article Title: A Novel PNDA-MMNet Model for Evaluating Dynamic Changes in the Brain State of Patients with PTSD During Neurofeedback Training
    Article Snippet: The measurement noise v k within z k is removed through Independent Component Analysis (ICA), which was implemented in MATLAB using an automated algorithm developed in-house.

    Article Title: Brain dynamics of the interplay between auditory selective attention and working memory during melody encoding.
    Article Snippet: Blinks, saccades, and heartbeats were removed from the signal thanks to an Independent Component Analysis (ICA), using eeglab MATLAB toolbox94.

    Software:

    Article Title: Comparison of brain activity metrics in Chinese and Russian students while perceiving information referencing self or others
    Article Snippet: .. Oculomotor and other artifacts were removed from the EEG using Independent Component Analysis (ICA) from the EEGLAB software package version 14.1.2b for the MATLAB environment (Delorme, Makeig, 2004). ..

    Activity Assay:

    Article Title: EEG Cortical Sources of Theta, Beta and 
Gamma Frequencies Orchestrate 
Audio–Visual Interactions
    Article Snippet: .. Artefactual activity was identified and removed using Independent Component Analysis (ICA) in the EEGLAB toolbox v14.0 on MATLAB R2017b (Mathworks Inc., USA). ..



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