Frequency filtering improves ultrasonic embolic signal detection

Ultrasound in Medicine and Biology

Volumn 25, Issue 5, 1999, Pages 857-860

  Markus, Hugh S ^a   Reid, Greg ^b  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b Nicolet EME Ltd   (Germany)

Author keywords

Cerebral embolism; Cerebrovascular disorders; Fast Fourier transform; Ultrasonics

Indexed keywords

BLOOD; COMPUTER SOFTWARE; DISEASES; FAST FOURIER TRANSFORMS; FIR FILTERS; NEUROLOGY; SIGNAL DETECTION; SIGNAL FILTERING AND PREDICTION;

CEREBRAL EMBOLISM; CEREBROVASCULAR DISORDERS; FREQUENCY FILTERING;

ULTRASONICS;

AMPLITUDE MODULATION; ARTICLE; BRAIN EMBOLISM; DIGITAL FILTERING; DOPPLER ECHOGRAPHY; FOURIER TRANSFORMATION; FREQUENCY MODULATION; PRIORITY JOURNAL; SIGNAL DETECTION; SIGNAL NOISE RATIO; SIGNAL PROCESSING; ULTRASOUND;

EID: 0033006117     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0301-5629(99)00029-0     Document Type: Article

References (11)

1. Georgiadis D., Gocke J., Hill M., et al. A novel technique for identification of Doppler microembolic signals based on the coincidence method. Stroke. 27:1996;683-686.
2. Markus H., Loh A., Brown M.M. Computerized detection of cerebral emboli and discrimination from artifact using Doppler ultrasound. Stroke. 24:1993;1667-1672.
3. Markus H.S., Harrison M.J. Microembolic signal detection using ultrasound. Stroke. 26:1995;1517-1519.
4. Markus H.S., Tegeler C. Experimental aspects of high-intensity transient signals in the detection of emboli. J Clin Ultrasound. 23:1995;81-87.
5. Markus H.S., Ackerstaff R.G., Babikian V.L., et al. Inter-centre agreement in reading Doppler embolic signals a multicentre international study . Stroke. 28:1997;1307-1310.
6. Molloy J., Markus H.S. Multigate Doppler ultrasound in the detection of emboli in a flow model, and embolic signals in patients. Stroke. 27:1996;1548-1552.
7. Oppenheim A.V., Schafer R.W. Discrete time signal processing. 1989;Prentice Hall, NJ.
8. Ringlestein E.B., Droste D.W., Babikian V.L., et al. International Consensus Group on Microembolus Detection. Consensus on microembolus detection by TCD. Stroke. 29:1998;725-729.
9. Siebler M., Rose G., Sitzer M., Bender A., Steinmetz H. Real-time identification of cerebral microemboli with US feature detection by a neural network. Radiology. 192:1994;739-742.
10. Smith J.L., Evans D.H., Fan L., Bell P.R., Naylor A.R. Differentiation between emboli and artefacts using dual-gated transcranial Doppler ultrasound. Ultrasound Med Biol. 22:1996;1031-1036.
11. Smith J.L., Evans D.H., Naylor A.R. Signals from dual gated TCD systems curious observations and possible explanations . Ultrasound Med Biol. 23:1997;15-24.