Automated Clustering of Independent Components for Discontinuous Sounds Thoracic Imaging

Charleston-Villalobos, Sonia ;   Castaneda-Villa, Norma ;   Gonzalez-Camarena, Ramon ;   Mejía Ávila, Mayra ;   Aljama-Corrales, Tomas

Tags Independent component analysisBlind source separationBiomedical signal classification

Discontinuous lung sounds (DLS), also known as crackles, are abnormal sounds produced by different pulmonary pathologies (PP) whose thoracic...

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Automatic Preprocessing of EEG Signals in Long Time Scale

Corradino, Claudia ;   Bucolo, Maide

Tags Time-frequency analysis of biosignalsIndependent component analysisData mining in biosignals

Electroencephalography (EEG) signals are highly affected by physiological artifacts. Establishing a robust and repeatable EEG pre-processing...

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Empirical Mode Decomposition Applied for Non-Invasive Electrohysterograhic Signals Denoising

Taralunga, Dragos-Daniel ;   Ungureanu, G. Mihaela ;   Hurezeanu, Bogdan ;   Gussi, Ilinca ;   Strungaru, Rodica

Tags Empirical mode decomposition in biosignal analysisNonstationary processing of biomedical signals

The electrical activity of the uterus, i.e. the electrohysterogram (EHG), is one of the most prominent tool for preterm labour. There is no...

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Empirical Mode Decomposition for Slow Wave Extraction from Electrogastrographical Signals

Mika, Barbara ;   Komorowski, Dariusz, Waldemar ;   Tkacz, Ewaryst

Tags Empirical mode decomposition in biosignal analysisNonstationary processing of biomedical signalsSignal processing in physiological systems

The aim of this study was to investigate the effectiveness of Empirical Mode Decomposition (EMD) for slow wave extraction from multichannel...

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Evaluation of EEG Signal during the A-Phases of the Cycling Alternating Pattern using Principal Component Analysis

Ramirez-Elias, Miguel Ghebre ;   Arce Guevara, Valdemar Emigdio ;   Mendez, Martin Oswaldo ;   Alba, Alfonso

Tags Principal component analysisPattern recognition methods for data mining in biosignalsSignal processing in physiological systems

Recent studies have characterized the properties of the A-phases based on the spectral components of the EEG signal. These studies have...

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Hessian Regularization based Non-Negative Matrix Factorization for Gene Expression Data Clustering

Liu, Xiao ;   Shi, Jun ;   Wang, Congzhi

Tags Data mining in biosignalsPattern recognition methods for data mining in biosignalsMultivariate signal processing

Since a key step in the analysis of gene expression data is to detect groups of genes that have similar expression patterns, clustering...

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Multiscale PCA to Distinguish Regular and Irregular Surfaces using Tri Axial Head and Trunk Acceleration Signals

Pendharkar, Gita ;   Naik, Ganesh R ;   Acharyya, Amit ;   Nguyen, Hung T.

Tags Principal component analysisBiomedical signal classificationBiomedical simulation involving signal processing

This study uses multiscale principal component analysis (MSPCA) signal processing technique in order to distinguish the two different surfaces,...

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On the Influence of High-Pass Filtering on ICA-Based Artifact Reduction in EEG-ERP

Winkler, Irene ;   Debener, Stefan ;   Müller, Klaus-Robert ;   Tangermann, Michael

Tags Independent component analysisBlind source separationMultivariate signal processing

Standard artifact removal methods for electroencephalographic (EEG) signals are either based on Independent Component Analysis (ICA) or...

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Preliminary Evaluation of Wearable Wellness System for Obstructive Sleep Apnea Detection

Crupi, Riccardo ;   Faetti, Tommaso ;   Paradiso, Rita

Tags Data mining in biosignalsEmpirical mode decomposition in biosignal analysisBiomedical simulation involving signal processing

Several studies have proven how sleep deprivation has a negative impact on daily life, affecting people psychophysical state. In this field,...

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R-Principal Subspace for Driver Cognitive State Classification

Almahasneh, Hossam ;   Kamel, Nidal ;   Walter, Nicolas ;   Malik, Aamir Saeed

Tags Principal component analysisBiomedical signal classificationSignal processing in physiological systems

Using EEG signals, a novel technique for driver cognitive state assessment is presented, analyzed and experimentally verified. The proposed...

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Real-Time EEG Source-Mapping Toolbox (REST): Online ICA and Source Localization

Pion-Tonachini, Luca ;   Hsu, Sheng-Hsiou ;   Makeig, Scott ;   Jung, Tzyy-Ping ;   Cauwenberghs, Gert

Tags Independent component analysisNonstationary processing of biomedical signalsSignal processing in physiological systems

The Electroencephalogram (EEG) is a noninvasive functional brain activity recording method that shows promise for becoming a 3-D cortical...

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Tracking Non-Stationary EEG Sources using Adaptive Online Recursive Independent Component Analysis

Hsu, Sheng-Hsiou ;   Pion-Tonachini, Luca ;   Jung, Tzyy-Ping ;   Cauwenberghs, Gert

Tags Independent component analysisNonstationary processing of biomedical signalsAdaptive filtering

Electroencephalographic (EEG) source-level analyses such as independent component analysis (ICA) have uncovered features related to human...

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