A fuzzy approach to the rate control in an artificial cardiac pacemaker regulated by respiratory rate and temperature: a preliminary report.

Fuzzy theory was applied to the rate control of a cardiac pacemaker which uses two parameters, respiratory rate and temperature, as the parameters for rate regulation. Using 25 fuzzy reasoning rules derived from five mongrel dogs, the pacing rates in three animals were calculated and compared with the intrinsic heart rates. It is concluded that the fuzzy method is well suited for the rate determination of a multi-parameter rate-responsive cardiac pacemaker.

[1]  S. Barold,et al.  Modern cardiac pacing , 1985 .

[2]  David L. Hayes,et al.  A practice of cardiac pacing , 1986 .

[3]  P. Zoll,et al.  Resuscitation of the heart in ventricular standstill by external electric stimulation. , 1952, The New England journal of medicine.

[4]  T Masuzawa,et al.  [Development of fuzzy blood pressure control system]. , 1989, Iyo denshi to seitai kogaku. Japanese journal of medical electronics and biological engineering.

[5]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[6]  E. Alt,et al.  A New Rate‐Modulated Pacemaker System Optimized by Combination of Two Sensors , 1988, Pacing and clinical electrophysiology : PACE.

[7]  D Hunt,et al.  Rate Responsive Pacing Using a Minute Ventilation Sensor , 1988, Pacing and clinical electrophysiology : PACE.

[8]  T Kitamura.  Application of fuzzy logic to artificial heart technology. , 1989 .

[9]  G. Klein,et al.  A Pacemaker which Automatically Increases its Rate with Physical Activity , 1983 .