Journal ArticleDOI
SVD based technique for noise reduction in electroencephalographic signals
P. K. Sadasivan,D. Narayana Dutt +1 more
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TLDR
Signal to noise ratio (SNR) and linear prediction (LP) spectra are used as measures for comparing the performance of the proposed algorithm for the cases of one EOG channel and two EOG channels.About:
This article is published in Signal Processing.The article was published on 1996-12-01. It has received 93 citations till now. The article focuses on the topics: Signal-to-noise ratio & Noise reduction.read more
Citations
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Journal ArticleDOI
Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI.
Christian Büchel,Karl J. Friston +1 more
TL;DR: A structural equation model of the interactions among these dorsal visual pathway areas revealed increased connectivity between V5 and PP related to attention, and attributed the source of modulatory influences, on the posterior visual pathway, to the prefrontal cortex (PFC).
Journal ArticleDOI
Automatic removal of eye movement and blink artifacts from EEG data using blind component separation
TL;DR: Although the focus is on eliminating ocular artifacts in EEG data, the approach can be extended to other sources of EEG contamination such as cardiac signals, environmental noise, and electrode drift, and adapted for use with magnetoencephalographic (MEG) data, a magnetic correlate of EEG.
Proceedings ArticleDOI
Automatic Removal of Ocular Artifacts in the EEG without an EOG Reference Channel
Germán Gómez-Herrero,Wim De Clercq,Haroon Anwar,Olga Kara,Karen Egiazarian,Sabine Van Huffel,Wim Van Paesschen +6 more
TL;DR: The proposed approach removed most EOG artifacts in 6 long-term EEG recordings containing epilectic seizures without distorting the recorded ictal activity.
Journal ArticleDOI
Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis.
TL;DR: Simulations as well as real application results for EEG-signal noise elimination are included to show the validity and effectiveness of the proposed approach.
Journal ArticleDOI
Smooth orthogonal decomposition-based vibration mode identification
David Chelidze,Wenliang Zhou +1 more
TL;DR: In this article, a new multivariate data analysis method called smooth orthogonal decomposition (SOD) is proposed to extract linear normal modes and natural frequencies of multi-degree-of-freedom and distributed-parameter vibration systems.
References
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Journal ArticleDOI
A new method for off-line removal of ocular artifact.
TL;DR: EMCP permits retention of all trials in an ERP experiment, irrespective of ocular artifact, and has the advantage that separate correction factors are computed for blinks and movements and that these factors are based on data from the experimental session itself rather than from a separate calibration session.
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Linear prediction: A tutorial review
TL;DR: This paper gives an exposition of linear prediction in the analysis of discrete signals as a linear combination of its past values and present and past values of a hypothetical input to a system whose output is the given signal.
Journal ArticleDOI
The singular value decomposition: Its computation and some applications
TL;DR: This work provides a tutorial introduction to certain numerical computations both in linear algebra and linear systems in the context of bounded arithmetic and the singular value decomposition (SVD).
Journal ArticleDOI
Singular value decomposition and improved frequency estimation using linear prediction
Donald W. Tufts,Ramdas Kumaresan +1 more
TL;DR: LP estimation of frequencies can be greatly improved at low SNR by singular value decomposition (SVD) of the LP data matrix, as is done in Pisarenko's method and its variants.