Abstract
The purpose of this paper is to identify a pulse rate prediction model for an activity sensing pacer by SOFIA (Self-Organizing Fuzzy Identification Algorithm), which is a simplified method of fuzzy modeling proposed by Sugeno and Kang. Input and output variables of the pulse rate prediction model are workload and pulse rate, respectively. First, it is pointed out by comparing identfication result of SOFIA with that of a linear model that the input-output relation between workload and pulse rate is highly nonlinear. Finally, as a result of compairing prediction result by the identified fuzzy model with those by other pacers, it is shown that SOFIA is useful for predicting pulse rate for activity sensing pacers.
