software tools for eeg and meg data analysis (BESA GmbH)
90
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BESA GmbH
software tools for eeg and meg data analysis
Software Tools For Eeg And Meg Data Analysis, supplied by BESA GmbH, 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/meg+data+analysis+software/software+tools/pmc08960642-361-20-9
Average 90 stars, based on 1 article reviews
Software Tools For Eeg And Meg Data Analysis, supplied by BESA GmbH, 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/meg+data+analysis+software/software+tools/pmc08960642-361-20-9
Average 90 stars, based on 1 article reviews
software tools for eeg and meg data analysis - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Visualizing spikes in source-space: Rapid and efficient evaluation of magnetoencephalography. Article Snippet: Objective: reviewing magnetoencephalography (MEG) recordings is time-consuming: signals from the 306 MEG-sensors are typically reviewed divided into six arrays of 51 sensors each, thus browsing each recording six times in order to evaluate all signals.. A novel method of reconstructing the MEG signals in source-space was developed using a source-montage of 29 brain-regions and two spatial components to remove magnetocardiographic (MKG) artefacts.. Our objective was to evaluate the accuracy of reviewing MEG in source-space. Article Title: Validating EEG source imaging using intracranial electrical stimulation Article Snippet: M.R. is an employee of Article Title: DC-EEG recordings of mindfulness. Article Snippet: Accepted Manuscript DC-EEG recordings of mindfulness Ernst Rodin, Harald Bornfleth, Michael Johnson PII: S1388-2457(17)30022-6 DOI: http://dx.doi.org/10.1016/j.clinph.2016.12.031 Reference: CLINPH 2008033 To appear in: Clinical Neurophysiology Received Date: 27 September 2016 Revised Date: 25 November 2016 Accepted Date: 29 December 2016 Please cite this article as: Rodin, E., Bornfleth, H., Johnson, M., DC-EEG recordings of mindfulness, Clinical Neurophysiology (2017), doi: http://dx.doi.org/10.1016/j.clinph.2016.12.031 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript.. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Article Title: LORETA With Cortical Constraint: Choosing an Adequate Surface Laplacian Operator Article Snippet: Article Title: Acoustic-level and language-specific processing of native and non-native phonological sequence onsets in the low gamma and theta-frequency bands Article Snippet: MR is an employee of Software:Article Title: EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization Article Snippet: .. Article Title: Development of motion speed perception from infancy to early adulthood: a high-density EEG study of simulated forward motion through optic flow Article Snippet: .. EEG raw data were segmented using Article Title: Epileptiform discharge propagation: Analyzing spikes from the onset to the peak. Article Snippet: Objective: To investigate how often discharge propagation occurs within the spikes recorded in patients evaluated for epilepsy surgery, and to assess its impact on the accuracy of source imaging.. Methods: Data were analyzed from 50 consecutive patients who had presurgical workup.. Discharge propagation was analyzed using sequential voltage-maps of the averaged spikes, and principal components analysis. |