Real-time identification and archiving of micro-embolic Doppler signals using a knowledge-based DSP system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/BF02344631.pdf
Reference18 articles.
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3. Cullinane, M., Reid, G., Dittrich, R., Kaposzta, Z., Ackerstaff, R., Babikian, V. Droste, D. W., Grossett, D., Siebler, M., Valton, L., andMarkus, H. S. (2000): ‘Evaluation of new online automated embolic signal detection algorithm, including comparison with panel of international experts’,Stroke,31, pp. 1335–1341
4. Cullinane, M., Kaposzta, Z., Reihill S., andMarkus, H. S. (2002): ‘Online automated detection of cerebral embolic signals from a variety of embolic sources’,Ultrasound Med. Biol.,28, pp. 1271–1277
5. Dittrich, R., Ritter, M. A., andDroste, D. W. (2002): ‘Microembolus detection by transcranial Doppler sonography’,Eur. J. Ultrasound,16, pp. 21–30
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