Results 61 to 70 of about 195,151 (333)
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Multiple component decomposition from millimeter single-channel data
, 2017 We present an implementation of a blind source separation algorithm to remove foregrounds off millimeter surveys made by single-channel instruments.
Aretxaga, Itziar +8 more
core +1 more source
Increased Blood Levels of NfL, GFAP, and Placental Growth Factor After Radiotherapy to the Brain
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT In this study, we analyzed biomarkers of neuronal, glial, and vascular injury in longitudinal paired samples of blood and cerebrospinal fluid after prophylactic cranial irradiation in patients with small cell lung cancer. Neurofilament light chain protein (NfL) and glial fibrillary acidic protein (GFAP) increased in serum and cerebrospinal ...
Erik Fernström +5 more
wiley +1 more source
Research on multi-target recognition method based on WSN and blind source separation
物联网学报, 2019 Aiming at the problem of signal aliasing in multi-target detection and recognition using wireless sensor network (WSN),a blind source separation algorithm was proposed,which can determine the number of targets and obtain the accurate source signals.In ...
Pengju HE, Gangyi LIU, Siyi LIU
doaj +2 more sources
Blind Source Separation for Convolutive Mixtures with Neural Networks
Advances in Electrical and Computer Engineering, 2011 Blind source separation of convolutive mixtures is used as a preprocessing stage in many applications. The aim is to extract individual signals from their mixtures.
KIREI, B. S. +4 more
doaj +1 more source
Efficient independent component analysis
, 2007 Independent component analysis (ICA) has been widely used for blind source separation in many fields such as brain imaging analysis, signal processing and telecommunication.
Bickel, Peter J., Chen, Aiyou
core +2 more sources
Signal Slice and Tensor-Based Blind Separation of Underdetermined Mixtures [PDF]
, 2023 Weilin Luo +5 more
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source
Noncontact Multiperson Respiratory Detection Method Based on Blind Source Separation
Leida xuebaoIn recent years, there has been an increasing interest in respiratory monitoring in multiperson environments and simultaneous monitoring of the health status of multiple people.
Xuan YANG +4 more
doaj +1 more source
Selective-tap blind signal processing for speech separation [PDF]
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 In this paper, we propose a new blind multichannel adaptive filtering scheme, which incorporates a partial-updating mechanism in the error gradient of the update equation. The proposed blind processing algorithm operates in the time-domain by updating only a selected portion of the adaptive filters.
Kostas, Kokkinakis, Philipos C, Loizou
openaire +2 more sources