Abstract
Fuzzy theory was applied to the rate control of a cardiac pacemaker which uses two parame-ters, respiratory rate and temperature, as guide parameters for rate regulation. Membership functions of respiratory rate and temperature and 25 fuzzy reasoning rules were derived from 5 mongrel dogs during fever under anesthesia. Using these rules and membership func-tions, heart rates in mongrel dogs during fever under anesthesia were simulated through the respiratory rate and temperature and compared with the intrinsic rates. The agreement was satisfactory over a wide temperature range from 36°C to 42°C. Doctors can easily make the appropriate membership functions and the control rules for each patient and therefore can simulate the heart rate variation before implantation. This allows us a multi-guide cardiac pacemaker with a custom-made rate control program.
