Detection of multifiber neuronal firings: A mixture separation model applied to sympathetic recordings

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 1, 2009, Pages 147-158

  Tan, Can Ozan ^a   Taylor, J Andrew ^a   Ler, Albert S H ^b   Cohen, Michael A ^b  

^a American Journal of Physical Medicine and Rehabilitation   (United States)

^b BOSTON UNIVERSITY   (United States)

Author keywords

Denoising; Human; Mixture modeling; Spike detection; Sympathetic nerve activity

Indexed keywords

DENOISING; HUMAN; MIXTURE MODELING; SPIKE DETECTION; SYMPATHETIC NERVE ACTIVITY;

ACOUSTIC INTENSITY; ALGORITHMS; HEMODYNAMICS; MIXTURES; PHYSIOLOGICAL MODELS; PROCESSING;

SIGNAL TO NOISE RATIO;

ADULT; ALGORITHMS; ANIMALS; AREA UNDER CURVE; ARTIFACTS; BAYES THEOREM; BLOOD PRESSURE; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; ELECTROPHYSIOLOGY; HUMANS; KIDNEY; LINEAR MODELS; MIDDLE AGED; MODELS, NEUROLOGICAL; NORMAL DISTRIBUTION; RATS; REGIONAL BLOOD FLOW; ROC CURVE; SYMPATHETIC NERVOUS SYSTEM;

EID: 60549088399     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.2002138     Document Type: Article

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