A self-tuning effect of membership functions in a fuzzy-logic-based cardiac pacing system

Journal of Medical Engineering and Technology

Volumn 22, Issue 3, 1998, Pages 137-143

  Sugiura, T ^a   Sugiura, N ^a   Kazui, T ^b   Harada, Y ^b  

^a SHIZUOKA UNIVERSITY   (Japan)

^b HAMAMATSU UNIVERSITY SCHOOL OF MEDICINE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOSENSORS; CARDIOLOGY; FUZZY SETS; MEMBERSHIP FUNCTIONS;

CARDIAC PACING SYSTEMS; SELF-TUNING METHOD;

PACEMAKERS;

ADULT; ARTICLE; HEART PACING; HUMAN; HUMAN EXPERIMENT; IMPLANT; LUNG MINUTE VOLUME; OXYGEN SATURATION; SENSOR;

EID: 0032078847     PISSN: 03091902     EISSN: None     Source Type: Journal    
DOI: 10.3109/03091909809062480     Document Type: Article

References (16)

1. ALT, E., BAROLD, S. S. and STANG, K. K., 1993, Rate Adaptive Cardiac Pacing (Berlin, Heidelberg: Springer-Verlag).
2. LAU, C. P., 1992, The range of sensors and algorithms used in rate adaptive cardiac pacing. PACE, 15, 1177-1211.
3. SCHMIDT, M., AMMER, R., EVANS, F., PASQUANTONIO, J., SCOTTS, L., GRIMES, J., SCHÖMIG, A. and ALT, E., 1996, Improved accelerometer-based rate adaptive pacing by means of second-generation signal processing. PACE, 19, 1698-1703.
4. LAU, C. P., BENDITT, D. G., KAY, G. N., SELLERS, T. D. et al., 1995, Artificial rate-adpative sensors. In K. A. Ellenbogen, G. N. Kay and B. L. Wilkoff (eds) Clinical Cardiac Pacing (Philadelphia: W. B. Saunders Company), chapters 7-16, pp. 139-276.
5. SUGIURA, T., MIZUSHINA, KIMURA, T., and HARADA, Y., 1993, Sensors for rate adaptive cardiac pacing - present status and future trend, Japanese Journal of Cardiac Pacing and Electrophysiology, 9, 374-384.
6. MOND, H. G., 1993, Do we really need multiple sensors for optimal rate-adaptive pacing? In S. S. Barold and S. S. Mugica (eds) New Perspectives in Cardiac Pacing 3 (New York: Futura).
7. SUGIURA, T., KIMURA, M., MIZUSHIMA, S., YOSHIMURA, K., and HARADA, Y., 1988, Cardiac pacemaker regulated by respiratory rate and temperature. PACE, 11, 1077-1084.
8. ALT, E., THERES, H., HEINZ, M., MATURA, M., THILO, R., and BLÖMER, 1988, A new rate modulated pacemaker system optimized by combination of two sensors. PACE, 11, 1119-1129.
9. COWELL, R., MORRIS-THURGOOD, J., PAUL, V., ISLEY, C., and CAMM, A. J., 1993, Are we being driven in two sensors?: clinical benefits of sensor cross-checking. PACE, 16, 1441-1444.
10. ZADEH, L. H., 1995, Fuzzy sets. Information and Control, 8, 338-353.
11. SUGIURA, T., MIZUSHINA, S., KIMURA, M., FUKUI, Y., and HARADA, Y., 1991, A fuzzy approach to the rate control in an artificial cardiac pacemaker regulated by respiratory rate and temperature: a preliminary report. Journal of Medical Engineering & Technology, 15, 107-110.
12. SUGIURA, T., KIMURA, M., MIZUSHINA, S., and HARADA, Y., 1991, Application of fuzzy sets for rate regulation in rate-adaptive pacing based on minute ventilation and oxygen saturation. Proceedings of IEEE EMBS, 13, 995-997.
13. SUGIURA, N., TAKAGI, T., MIZUSHINA, S., SUGIURA, T., KIMURA, M., KIMURA, T., and HARADA, Y., 1995, A method of estimating fuzzy rates. Japanese Journal of Artificial Organs, 24, 462-467.
14. COX, E., 1994, The Fuzzy Systems Handbook (London: Academic Press Inc.).
15. ABE, S., and LAN, M. S., 1995, A method for fuzzy rules extraction directly from numerical data and its application to pattern recognizing. IEEE Transactions on Fuzzy Systems, 3(1), 18-28.
16. MAMDANI, E. H., 1974, Applications of fuzzy algorithm for control of single dynamic plant. Proceedings of IEE, 121, 1585-1588.