Fuzzy logic using respiratory rate and temperature is a feasible approach for regulating the rate of artificial cardiac pacemakers in a preclinical model.
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Requires human validation before clinical use; hypothesis-generating for fuzzy logic rate-responsive pacing.
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.
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Sugiura et al. (1991) studied this question.
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