Real-time identification and archiving of micro-embolic Doppler signals using a knowledge-based DSP system

Medical and Biological Engineering and Computing

Volumn 42, Issue 2, 2004, Pages 193-200

  Fan, L ^a   Evans, D H ^a,b   Naylor, A R ^b   Tortoli, P ^c  

^a UNIVERSITY HOSPITALS OF LEICESTER NHS TRUST   (United Kingdom)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Expert system; Real time embolus detection; Transcranial Doppler ultrasound

Indexed keywords

COMPUTER SIMULATION; DEMODULATION; DOPPLER EFFECT; EXPERT SYSTEMS; MEDICAL IMAGING; SENSITIVITY ANALYSIS; SIGNAL PROCESSING;

CEREBRAL CIRCULATION; CLINICAL INFORMATION; HUMAN EXPERT; MICRO-EMBOLI;

BIOMEDICAL ENGINEERING;

ARTICLE; AUTOMATION; BRAIN EMBOLISM; CAROTID ENDARTERECTOMY; CLINICAL ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DOPPLER ECHOGRAPHY; ECHOENCEPHALOGRAPHY; HUMAN; IMAGE ANALYSIS; MATHEMATICAL COMPUTING; MEDICAL DECISION MAKING; MEDICAL EXPERT; MEDICAL TECHNOLOGY; MICROEMBOLISM; PATIENT MONITORING; REAL TIME ECHOGRAPHY; RELIABILITY; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; STANDARD; THEORY; VOLUNTEER;

ENDARTERECTOMY, CAROTID; EXPERT SYSTEMS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INTRACRANIAL EMBOLISM; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, DOPPLER, TRANSCRANIAL;

EID: 2342442591     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02344631     Document Type: Article

References (18)

1. Angell, E. L., and Evans, D. H. (2003): 'Limits of uncertainty in measured values of embolus-to-blood ratio due to Doppler sample volume shape and location', Ultrasound Med. Biol., 29, pp. 1037-1044.
2. Cohen, L. (1989): 'Time-frequency distributions - a review', Proc. IEEE, 77, pp. 941-981
3. Cullinane, M., Reid, G., Dittrich, R., Kaposzta, Z., Ackerstaff, R., Babikian, V. Droste, D. W., Grossett, D., Siebler, M., Valton, L., and Markus, 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., and Markus, 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., and Droste, D. W. (2002): 'Microembolus detection by transcranial Doppler sonography', Eur. J. Ultrasound, 16, pp. 21-30
6. Evans, D. H. (1999): 'Detection of microemboli', in Babikian, V. L., and Wechsler, L. R. (Eds): 'Transcranial Doppler ultrasonography', 2nd edn (Butterworth Heinemann, Boston, 1999), pp. 141-155
7. Fan, L., Evans, D. H., and Naylor, A. R. (2001): 'Automated embolus identification using a rule-based expert system', Ultrasound Med. Biol., 27, pp. 1065-1077
8. Hennerici, M. G., Evans, D. H., and Spencer, M. P. (1999): 'Cerebral embolism and Doppler ultrasound', Cerebrovasc. Dis., 9, pp. 188-192
9. Jackson, P. (1999): 'Introduction to expert systems', 3rd edn (Addison-Wesley, Harlow, 1999)
10. Lennard, N., Smith, J. L., Dumville, J., Abbott, R., Evans, D. H., London, N. J. M., Bell, P. R. F., and Naylor, A. R. (1997): 'Prevention of post-operative thrombotic stroke after carotid endarterectomy: the role of transcranial Doppler ultrasound', J. Vasc. Surg., 26, pp. 579-584
11. Lennard, N., Smith, J. L., Hayes, P., Evans, D. H., Abbott, R. J., London, N. J., Bell, P. R., and Naylor, A. R. (1999): 'Transcranial Doppler directed dextran therapy in the prevention of carotid thrombosis: three hour monitoring is as effective as six hours', Eur. J. Vasc. Endovasc. Surg., 17, pp. 301-305
12. Levi, C. R., O'Malley, H. M., Fell, G., Roberts, A. K., Hoare, M. C., Royle, J. P., Chan, A., Beiles, B. C., Chambers, B. R., Bladin, C. F., and Donnan, G. A. (1997): 'Transcranial Doppler detected cerebral microembolism following carotid endarterectomy: high microembolic signal loads predict postoperative cerebral ischaemia', Brain, 120, pp. 621-629
13. Markus, H. (1999): 'Microembolic signal detection in cerebrovascular disease', in: Babikian, V. L., and Wechsler, L. R. (Eds): 'Transcranial Doppler ultrasonography', 2nd edn (Butterworth Heinemann, Boston, 1999), pp. 167-174
14. Markus, H., Cullinane, M., and Reid, G. (1999): 'Improved automated detection of embolic signals using a novel frequency filtering approach', Stroke, 30, pp. 1610-1615
15. Ringelstein, E. B., Droste, D. W., Babikian, V. L., Evans, D. H., Grosset, D. G., Kaps, M., Markus, H. S., Russell, D., and Siebler, M. (1998): 'Consensus on microembolus detection by TCD. International Consensus Group on Microembolus Detection', Stroke, 29, pp. 725-729
16. Spencer, M. P. (1992): 'Detection of cerebral arterial emboli', in: Newell, D. W., and Aaslid, R. (Eds): 'Transcranial Doppler' (Raven Press, New York, 1992), pp. 215-230
17. Sylivris, S., Levi, C., Matalanis, G., Rosalion, A., Buxton, B. F., Mitchell, A., Fitt, G., Harberts, D. B., Saling, M. M., and Tonkin, A. M. (1998): 'Pattern and significance of cerebral microemboli during coronary artery bypass grafting', Ann. Thorac. Surg., 66, pp. 1674-1678
18. Van Zuilen, E. V., Mess, W. H., Jansen, C., Van Der Tweel, I., Van Gun, J., and Ackerstaff, R. G. A. (1996): 'Automatic embolus detection compared with human experts. A Doppler ultrasound study', Stroke, 27, pp. 1840-1843