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InfoMax Inc fastica
Fastica, supplied by InfoMax 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+algorithm+fastica/fastica/pmc02147666-72-14-0
Average 90 stars, based on 1 article reviews
fastica - by Bioz Stars, 2026-09
90/100 stars

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Modification:

Article Title: Group linear non-Gaussian component analysis with applications to neuroimaging
Article Snippet: .. We use the logistic non-linearity as our measure of non-Gaussianity with the fastICA algorithm ( ) modified for LNGCA because the logistic non-linearity is used in Infomax and performs well in fMRI ( ; ). ..

other:

Article Title: Expanding the clinical application of OPM-MEG using an effective automatic suppression method for the dental brace metal artifact.
Article Snippet: Artifact suppression methods Subject 1 Subject 3 Subject 4 Average values SNR (dB) SNR (dB) SNR (dB) SNR (dB) unprocessed 8.40 10.33 9.88 9.54 FastICA 9.49 12.01 10.08 10.53 Infomax 9.60 13.50 10.55 11.22 AMUSE 8.26 10.33 12.13 10.24 Proposed Method 10.46 14.17 11.36 12.00 metal artifacts were significantly influenced by respiration and motion modulation (Fig. 2).

Article Title: Dynamics of task-related electrophysiological networks: a benchmarking study.
Article Snippet: All significant components extracted from the ve ICA methods (JADE, InfoMax, FastICA, CoM2 and PSAUD), NMF nd Kmeans methods were categorized as ‘Mot’ network due to the trong participation of sensorimotor nodes in these networks (sensori- otor strength ratio > 0.6) although some of them may involve addiional few connections to other regions.

Article Title: Comparing the reliability of different ICA algorithms for fMRI analysis
Article Snippet: For both sensory data and motor data, only the results of FastICA exhibited good spatial consistency with the results of Infomax when considering median and minimum SCC values ( Tables and ).

Article Title: A multi-step blind source separation approach for the attenuation of artifacts in mobile high-density electroencephalography data.
Article Snippet: For each step, we defined the BSS method to be used, among PCA, CCA, ICA (FastICA, Infomax and JADE) and IVA.

Blocking Assay:

Article Title: Resonance based separation and energy based classification of lung sounds using tunable wavelet transform.
Article Snippet: Background and objective: The locations and occurrence pattern of adventitious sounds in the respiratory cycle have critical diagnostic information.. In a lung sound sample, the crackles and wheezes may exist individually or they may coexist in a successive/overlapping manner superimposed onto the breath noise.. The performance of the linear time-frequency representation based signal decomposition methods has been limited in the crackle/ wheeze separation problem due to the common signal components that may arise in both time and frequency domain.



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