Isolation of multiple electrocardiogram artifacts using independent vector analysis [PDF]
PeerJ Computer Science, 2023 Electrocardiogram (ECG) signals are normally contaminated by various physiological and nonphysiological artifacts. Among these artifacts baseline wandering, electrode movement and muscle artifacts are particularly difficult to remove.
Zahoor Uddin +4 more
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Independent Vector Analysis for Feature Extraction in Motor Imagery Classification [PDF]
SensorsIndependent vector analysis (IVA) can be viewed as an extension of independent component analysis (ICA) to multiple datasets. It exploits the statistical dependency between different datasets through mutual information.
Caroline Pires Alavez Moraes +4 more
doaj +4 more sources
A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis [PDF]
Sensors, 2023 Joint blind source separation (JBSS) has wide applications in modeling latent structures across multiple related datasets. However, JBSS is computationally prohibitive with high-dimensional data, limiting the number of datasets that can be included in a ...
Mingyu Sun +6 more
doaj +2 more sources
Comparative analysis of group information-guided independent component analysis and independent vector analysis for assessing brain functional network characteristics in autism spectrum disorder [PDF]
Frontiers in Neuroscience, 2023 IntroductionGroup information-guided independent component analysis (GIG-ICA) and independent vector analysis (IVA) are two methods that improve estimation of subject-specific independent components in neuroimaging studies.
Junlin Jing +5 more
doaj +2 more sources
A Survey of Optimization Methods for Independent Vector Analysis in Audio Source Separation [PDF]
Sensors, 2023 With the advent of the era of big data information, artificial intelligence (AI) methods have become extremely promising and attractive. It has become extremely important to extract useful signals by decomposing various mixed signals through blind source
Ruiming Guo, Zhongqiang Luo, Mingchun Li
doaj +2 more sources
Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data [PDF]
IEEE AccessIdentifying relationships among multiple datasets is an effective way to summarize information and has been growing in importance. In this paper, we propose a robust 3-step method for identifying the relationship structure among multiple datasets based ...
Isabell Lehmann +5 more
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An Acoustic Signal Enhancement Method Based on Independent Vector Analysis for Moving Target Classification in the Wild [PDF]
Sensors, 2017 In this paper, we study how to improve the performance of moving target classification by using an acoustic signal enhancement method based on independent vector analysis (IVA) in the unattended ground sensor (UGS) system.
Qin Zhao +5 more
doaj +2 more sources
Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia [PDF]
NeuroImage, 2020 The extraction of common and distinct biomedical signatures among different populations allows for a more detailed study of the group-specific as well as distinct information of different populations.
Qunfang Long +3 more
doaj +2 more sources
Quantifying motor recovery after stroke using independent vector analysis and graph-theoretical analysis [PDF]
NeuroImage: Clinical, 2015 The assessment of neuroplasticity after stroke through functional magnetic resonance imaging (fMRI) analysis is a developing field where the objective is to better understand the neural process of recovery and to better target rehabilitation ...
Jonathan Laney +3 more
doaj +2 more sources
Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis. [PDF]
IEEE Trans Biomed Eng11 ...
Vu T +4 more
europepmc +4 more sources