Online automated detection of cerebral embolic signals using a wavelet-based system

Ultrasound in Medicine and Biology

Volumn 30, Issue 5, 2004, Pages 647-653

  Marvasti, Salman ^a,b   Gillies, Duncan ^b   Marvasti, Farokh ^c   Markus, Hugh S ^a  

^a ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Applied wavelets; Automatic detection; Cerebral embolism; Daubechies; Transcranial Doppler ultrasound

Indexed keywords

ALGORITHMS; BLOOD VESSELS; FOURIER TRANSFORMS; HEMODYNAMICS; ONLINE SYSTEMS; ULTRASONICS; WAVELET TRANSFORMS;

EMBOLIC SIGNALS; ONLINE AUTOMATED DETECTION; TRANSCRANIAL DOPPLER ULTRASOUND;

MEDICINE;

ALGORITHM; ARTICLE; AUTOMATION; BIOFILTER; BRAIN ARTERY; BRAIN EMBOLISM; COMPUTER PROGRAM; CONTROLLED STUDY; DOPPLER ECHOGRAPHY; ENERGY; FOURIER TRANSFORMATION; HUMAN; MEDICAL ASSESSMENT; MICROCOMPUTER; ONLINE SYSTEM; PRIORITY JOURNAL; RECORDING; SIGNAL DETECTION;

ALGORITHMS; CAROTID STENOSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTRACRANIAL EMBOLISM; MIDDLE CEREBRAL ARTERY; ONLINE SYSTEMS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; ULTRASONOGRAPHY, DOPPLER, TRANSCRANIAL;

EID: 2942615184     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2004.03.009     Document Type: Article

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