Results 151 to 160 of about 5,521,232 (198)

Unlocking the full potential of high-density surface EMG: novel non-invasive high-yield motor unit decomposition. [PDF]

J Physiol
Grison A, Mendez Guerra I, Clarke AK, Muceli S, Ibáñez J, Farina D.   +5 more
europepmc   +1 more source

Underdetermined Blind Source Separation of Audio Signals for Group Reared Pigs Based on Sparse Component Analysis. [PDF]

Sensors (Basel)
Pan W, Jiao J, Zhou X, Xu Z, Gu L, Zhu C.   +5 more
europepmc   +1 more source

The Development and Implementation of Innovative Blind Source Separation Techniques for Real-Time Extraction and Analysis of Fetal and Maternal Electrocardiogram Signals. [PDF]

Bioengineering (Basel)
Mekhfioui M, Benahmed A, Chebak A, Elgouri R, Hlou L.   +4 more
europepmc   +1 more source

A multi-label deep residual shrinkage network for high-density surface electromyography decomposition in real-time. [PDF]

J Neuroeng Rehabil
Ma J, Wang L, Wu R, Zhang N, Wei J, Li J, Li Q, Tan L, Li G, Jiang N, Dan G.   +10 more
europepmc   +1 more source

Phenolic-rich extruded BRS 305 sorghum-based beverage improves fecal and blood metabolites, oxidative balance and cardiometabolic markers in adults with excess body weight: a single-blind, randomized, placebo-controlled study. [PDF]

Eur J Nutr
da Silva LA, de São José VPB, Piermatei ÁLM, Rodrigues LA, do Prado PVC, Toledo RCL, de Carvalho CWP, Queiroz VAV, da Silva BP, Pierre JF, Martino HSD.   +10 more
europepmc   +1 more source

A Triple-Layer HFM-LFM-CAZAC Preamble Framework for Underwater Acoustic Integrated Sensing and Communication. [PDF]

Sensors (Basel)
Kim S, Park S, Im T.
europepmc   +1 more source

Effects of Spatial and Signal-Imposed Noises on Motor Unit Decomposition

Taleshi M, Yeung D, Negro F, Vujaklija I.   +3 more
europepmc   +1 more source

Improved multi-layer wavelet transform and blind source separation based ECG artifacts removal algorithm from the sEMG signal: in the case of upper limbs. [PDF]

Front Bioeng Biotechnol
Lu W, Gong D, Xue X, Gao L.
europepmc   +1 more source

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

Procedia 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
exaly   +2 more sources

Output-Only Modal Analysis Using Blind Source Separation Techniques

Mechanical Systems and Signal Processing, 2007
peer reviewedThe present study carries out output-only modal analysis using two blind source separation (BSS) techniques, namely independent component analysis and second-order blind identification.
Gaetan Kerschen, J -C Golinval
exaly   +2 more sources