Results 11 to 20 of about 8,942 (181)

Blind Source Separation (BSS) of Mixed Maternal and Fetal Electrocardiogram (ECG) Signal: A comparative Study

open access: yesProcedia Computer Science, 2020
Abstract Electrocardiogram (ECG) test is very important for fetus condition inspection so as to avoid stillbirth and neonatal death during pregnancy. It is well known and widely used as a medical tool as it is convenient and non-invasive. Nevertheless, analysing fetal ECG (FECG) signal by using naked eye is tedious as the observed signal is a mixed ...
Dzati Athiar Ramli   +2 more
openaire   +3 more sources

Hybrid Source Prior Based Independent Vector Analysis for Blind Separation of Speech Signals

open access: yesIEEE Access, 2020
Blind Source Separation (BSS) application is a delinquent issue in a complex reverberant environment with changing room geometric dimensions and an increasing number of speech sources.
Junaid Bahadar Khan   +3 more
doaj   +1 more source

Comparison of blind source separation methods in fast somatosensory-evoked potential detection [PDF]

open access: yes, 2011
Blind source separation (BSS) is a promising method for extracting somatosensory-evoked potential (SEP). Although various BSS algorithms are available for SEP extraction, few studies have addressed the performance differences between them. In this study,
Chang, CQ, Hu, Y, Liu, H, Luk, KDK
core   +1 more source

Group-level component analyses of EEG: validation and evaluation

open access: yesFrontiers in Neuroscience, 2015
Multi-subject or group-level component analysis provides a data-driven approach to study properties of brain networks. Algorithms for group-level data decomposition of functional magnetic resonance imaging data have been brought forward more than a ...
Rene eHuster   +5 more
doaj   +1 more source

Source-based neurofeedback methods using EEG recordings: Training altered brain activity in a functional brain source derived from Blind Source Separation

open access: yesFrontiers in Behavioral Neuroscience, 2014
A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous ...
David James White   +2 more
doaj   +1 more source

TWIN FETUS ECG SIGNAL EXTRACTION BASED ON TEMPORAL PREDICTABILITY

open access: yesMağallaẗ Al-kūfaẗ Al-handasiyyaẗ, 2020
The most popular defects that infect new born babies have close connection with heart. Approximately 1% percent of new born babies suffering from defects that are caused by heart.
Mushtaq Talib   +3 more
doaj   +1 more source

Single-Channel Blind Image Separation Based on Transformer-Guided GAN

open access: yesSensors, 2023
Blind source separation (BSS) has been a great challenge in the field of signal processing due to the unknown distribution of the source signal and the mixing matrix.
Yaya Su   +3 more
doaj   +1 more source

Atrial signal extraction in atrial fibrillation ECGs exploiting spatial constraints [PDF]

open access: yes, 2008
International audienceThe accuracy in the extraction of the atrial activity (AA) from electrocardiogram (ECG) signals recorded during atrial fibrillation (AF) episodes plays an important role in the analysis and characterization of atrial arrhhythmias ...
Bonizzi, Pietro   +4 more
core   +2 more sources

A Novel Source Number Estimator With Improved Degrees of Freedom

open access: yesIEEE Access, 2017
This paper proposes a new source number estimator with improved degrees of freedom for blind source separation, where the mixing matrix does not have the parameterized structure.
Qiao Su   +4 more
doaj   +1 more source

BLIND SOURCE SEPARATION (BSS) APPLIED TO SOUND IN VARIOUS CONDITIONS

open access: yesScience and Technology Development Journal, 2011
Our ears often simultaneously receive various sound sources (speech, music, noise . . .), but we can still listen to the intended sound. A system of speech recognition must be able to achieve the same intelligent level. The problem is that we receive many mixed (combined) signals from many different source signals, and would like to recover them ...
Phuong Huu Nguyen   +2 more
openaire   +2 more sources

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