Optimization of processing parameters for the analysis and detection of embolic signals

European Journal of Ultrasound

Volumn 12, Issue 1, 2000, Pages 69-79

  Aydin, Nizamettin ^a   Markus, Hugh S ^a  

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

Author keywords

Cerebral embolism; Doppler velocity measurement; Fast Fourier transform; Ultrasonic

Indexed keywords

ARTICLE; BLOOD FLOW VELOCITY; BRAIN EMBOLISM; CAROTID ARTERY OBSTRUCTION; COLOR ULTRASOUND FLOWMETRY; DOPPLER ECHOGRAPHY; FOURIER TRANSFORMATION; HUMAN; PRIORITY JOURNAL; SIGNAL PROCESSING; ULTRASOUND;

BLOOD FLOW VELOCITY; COMPARATIVE STUDY; DIAGNOSIS, DIFFERENTIAL; FOURIER ANALYSIS; HUMAN; IMAGE PROCESSING, COMPUTER-ASSISTED; INTRACRANIAL EMBOLISM; MIDDLE CEREBRAL ARTERY; REPRODUCIBILITY OF RESULTS; SUPPORT, NON-U.S. GOV'T; ULTRASONOGRAPHY, DOPPLER, TRANSCRANIAL;

EID: 0033826170     PISSN: 09298266     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0929-8266(00)00104-X     Document Type: Article

References (15)

1. Aaslid R., Markwalder T., Nornes H. Noninvasive transcranial Doppler ultrasound recording of flow-velocity in basal cerebral arteries. J. Neurosurg. 57:1982;769-774.
2. Aydin N., Padayachee S., Markus H.S. The use of the wavelet transform to describe embolic signals. Ultrasound Med. Biol. 25:1999;953-958.
3. Boashash B. Estimating and interpreting the instantaneous frequency of a signal: a tutorial review - Part 2: algorithms and applications. Proc. IEEE. 80:1992;539-568.
4. Cohen L. Time frequency distributions - a review. Proc. IEEE. 77:1989;941-981.
5. Fan L., Evans D.H. A real-time and fine resolution analyser used to estimate the instantaneous energy distribution of Doppler signals. Ultrasound Med. Biol. 20:1994;445-454.
6. Harris F.J. On the use of windows for harmonic analysis with discrete Fourier transform. Proc. IEEE. 66:1978;51-83.
7. Kay S.M. Modern Spectral Estimation. 1988;Prentice Hall, Englewood Cliffs, NJ.
8. Mallat S. Wavelet Tour of Signal Processing. 1998;30-35 Academic Press, San Diego, CA.
9. Markus H.S. Importance of time-window overlap in the detection and anlysis of embolic signals. Stroke. 26:1995;2044-2047.
10. Markus H.S., Tegeler C. Experimental aspects of high-intensity transient signals in detection of emboli. J. Clin. Ultrasound. 23:1995;81-87.
11. Markus H.S., Harrison M.J. Microembolic signal detection using ultrasound. Stroke. 26:1995;1517-1519.
12. Markus H.S., Ackerstaff R., Babikian V. et al. Inter-centre agreement in reading Doppler embolic signals: a multicentre international study. Stroke. 28:1997;1307-1310.
13. Ringelstein 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.
14. Spencer M.P., Thomas G.I., Nicholls S.C., Sauvage L.R. Detection of middle cerebral emboli during carotid endarterectomy using transcranial Doppler ultrasonograpy. Stroke. 21:1990;415-423.
15. Williams W.J., Sang T., O'Neill J.C., Zalubas E.J. Wavelet windowed time-frequency distribution decompositions. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE). 3162:1997;149-160.